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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Imam Cholissodin
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Pembangunan Sistem Informasi Penerimaan Santri Baru (PSB) berbasis Web menggunakan Framework Codeigniter (Studi Kasus: MAS Nurul As'adiyah Callaccu Kota Sengkang) Nurul Inayah; Imam Cholissodin; Diah Priharsari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

New Santri Admissions (PSB) or known as New Student Admissions (PPDB) are a series of processes carried out by educational institutions such as schools to select prospective students. The process of admitting new students at MAS Nurul As'adiyah Callacu, Sengkang city has a flow for taking forms, filling out forms, returning forms, registering by administration (determining majors), selecting tests, announcing and introducing the scope of the madrasah, a series of processes still using paper media in the implementation process resulting in several problems. As many as 70% of prospective santri come from outside the region, thus requiring them to visit schools to carry out the registration process. In addition, registration using paper media also causes data accumulation and additional work for the PSB committee to enter data into the excel application. Based on these problems, research on the construction of new santri admissions websites is expected to be a solution. The first process carried out was requirements engineering and designing and producing 6 actors, 70 functional requirements, 2 non-functional requirements and 17 database entities. Then, the system is implemented using the PHP programming language, codeigniter framework with MySQL database. after that it is tested at the unit stage, integration, validation and a compatibility and performance testing process is carried out with the results that the content and system functions can run 100% well.
Pengembangan Aplikasi Pemantauan Kinerja Guru untuk Peningkatan Kualitas Pembelajaran berbasis Web (Studi Kasus: SDN Mulyorejo 1 Malang) Muhammad Dio Reyhans; Imam Cholissodin; Sigit Adinugroho
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 2 (2021): Februari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Monitoring teacher performance is an activity to ensure the implementation of teacher duties. Monitoring the performance of teachers at SDN Mulyorejo 1 Malang is currently still being carried out by visiting the supervisor, which makes it difficult to monitor the file processing done by the teacher. The large number of teacher files makes it difficult to search for files when a file is needed. Based on these problems an application was made to facilitate supervision activities. This system is built on web-based by applying the waterfall model for its development. The web-based system was chosen because the resulting system can be accessed through various platforms. In the requirement analysis process, there were 5 actors, 113 functional requirements, and 1 non-functional requirement. The design is built using sequence diagrams, class diagrams, conceptual data models (CDM), physical data models (PDM), and pseudocode. The implementation process uses the PHP language with object-based infrastructure and data storage using MySQL. The last process is testing using white-box testing for unit testing, black-box testing to validate each need, and usability testing using the System Usability Scale (SUS) method which in this study obtained a value above 80,3 which means very good.
Pengaruh Metode Word Embedding dalam Vector Space Model pada Pemerolehan Informasi Materi IPA Siswa SMP Ibnu Rasyid Wijayanto; Imam Cholissodin; Yuita Arum Sari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Covid-19 pandemic in early 2019 made the face-to-face learning system in schools transformed into online learning. Online learning requires students to access digital learning materials, but the materials in the search results is often too broad which causes difficulties for students including junior high school students. This can be overcome with an Information Retrieval System that can make it easier for junior high school students to learn the desired materials, for example science materials. The Information Retrieval System in this study uses the Vector Space Model (VSM) method and the weighting using the Term Frequency Inverse-Document Frequency (TF-IDF) method. Systems that use the TF-IDF and VSM methods are tested with a combination of the TF-IDF, VSM and Word Embedding methods to determine the effect of the Word Embedding Method on the system. The result from this research is that word embedding can have an effect. The precision, recall, F-measure and accuracy values in the combined system test of the VSM and TF-IDF methods are 0.395, 0.8628, 0.5375, and 0.9306, respectively. The precision, recall, F-measure and system test accuracy values with the addition of Word Embedding in the VSM and TF-IDF methods are 0.38, 0.8880, 0.52822, and 0.9286, respectively. The effect of Word Embedding is that word embedding retrives more documents so that the range of documents obtained is larger. However, the use of additional word embedding in the vector space model can cause a reduction in the level of relevance because documents that should be irrelevant and unwanted by the user are likely to be retrieved by the system.
Pemerolehan Informasi Artikel terkait Covid-19 dengan menggunakan Metode Vector Space Model dan Word2Vec untuk Query Expansion Franklid Gunawan; Imam Cholissodin; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

COVID-19 has shaken the world since the end of 2019. There are still many people who are not aware of the risk of COVID-19 despite the updated information. To prevent misinformation, trusted access is required. The amount of information provided in an information access is also not small in numbers. From those problems, a system is needed that can make it easier for people to find desired information in accessing the information provided. One system that suitable for the problem is COVID-19 articles information retrieval based on keywords provided by users. The method that can be used to build an article information retrieval is the Vector Space Model combined with Query Expansion using Word2Vec. The stages of article information retrieval system are pre-processing the dataset, word weighting, training the Word2Vec model, performing Query Expansion, calculating similarity between document and query, and sorting the document articles. The process will produce 10 news article documents related to COVID-19 that have similarities between its content and the keyword from user, the test results that get the best precision@10 and recall@10 is when the system uses 500 hidden neuron for Word2Vec training and 40 words added at the Query Expansion stage.
Pemanfaatan Spark untuk Analisis Sentimen Mengenai Netralitas Berita dalam Membahas Pemilu Presiden 2019 Menggunakan Metode Naive Bayes Classifier: Utilization of Spark for Sentiment Analysis Regarding News Neutrality for Discussing the 2019 Presidential Election Using the Naive Bayes Classifier Method Reza Aprilliana Fauzi; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

An actual and neutral news is the hope of the public as the recipient of information to the news delivery media. Especially during the General Election in Indonesia, there are still news that are conveyed in a one side or not actual way. This also makes people still view that a lot of news has an element of partiality in providing information. Therefore, this study analyzes news sentiment from various news portals that discuss the 2019 Election in Indonesia. The data in this study were taken from various news portals and each news portal took 20 to 25 news stories, resulting in a large amount of data up to 100 data. This study using the Resilient Distributed Dataset (RDD) from the Spark platform as a data type in classifying news sentiments. The method used to classify the sentiment of a data (in this case is a news text) is the Naive Bayes Classifier method. Naive Bayes method has a good ability in classifying an unstructured big data, and has a simple model. This study uses the Confusion Matrix table as an evaluation table of the results of news sentiment classification, by calculating evaluation values such as accuracy, precision, recall, and F-Measure. Based on the various tests and scenarios that have been carried out, the best evaluation value is generated in the test using K-Fold Cross Validation with a value of K=10. In the 8th fraction (fold), the accuracy value is 100%, precision is 100%, recall is 100%. , and F-Measure of 100%.
Pengelompokan Toko E-commerce Shopee berdasarkan Reputasi Toko menggunakan Metode Clustering K-Medoids Felicia Marvela Evanita; Imam Cholissodin; Sigit Adinugroho
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The growth of internet encouraged the creation of e-commerce or electronic commerce. E-commerce with the most visitors in Indonesia is Shopee with more than 72 million visitors each month at the end of 2019. Although e-commerce has a lot of good impact, users are still faced with the risks from using e-commerce. Users must be more careful in choosing a store to trust in order to avoid these risks. Users are faced with many choices while looking for products and users must consider which store should they choose. Store clustering on Shopee e-commerce based on store reputation with K-Medoids clustering could solve this problem. The data that used in this study were taken from 100 store in Shopee e-commerce by web scraping. Steps that taken were preprocessing the data, normalization, finding the distance for each data, clustering with K-Medoids, and evaluate using Silhouette Coefficient. In this study, the number of cluster and data were tested. From these tests, it was found that the best Silhouette Coefficient average was 0,317681 while using 2 clusters and 100 data.
Klasifikasi Diagnosis Penyakit Diabetes Gestasional pada Ibu Hamil menggunakan Algoritme Neighbor Weighted K-Nearest Neighbor (NWKNN) Vinesia Yolanda; Imam Cholissodin; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Gestational diabetes is a state of high blood sugar levels that occur during pregnancy. The presence of this disease is common and usually occurs in the 24th to 28th week of pregnancy. However, the condition of this high blood sugar level cannot be underestimated because it can cause several complications that can harm both mother and baby. In addition, untreated gestational diabetes can also increase the risk of type 2 diabetes for both mother and baby in the future. The cause of the onset of gestational diabetes is not certain. However, gestational diabetes is a multifactorial disease which the presence can be caused by various factors that play a role in increasing the risk of this disease. Therefore, gestational diabetes becomes difficult to diagnose because doctors need to consider these factors, analyze them, and compare them with previous patients under similar conditions. Eventually, the diagnosis depends on the doctor's interpretation and is prone to human error. A solution that can be applied is by using a classification algorithm that can identify the presence of gestational diabetes. Pima Indians Diabetes Dataset is a dataset that is widely used in some research of diabetes prediction. This dataset has a characteristic of imbalanced data, so that Neighbor Weighted K-Nearest Neighbor (NWKNN) can be applied to the dataset. By deleting data containing missing value and testing the value of K and E of NWKNN, the best results for sensitivity was 0,8125, specificity was 0,8788, and F1 score was 0,7879 were achieved at K = 25 and E = 2. Meanwhile for k-fold cross-validation testing, the NWKNN algorithm was found to be better than K-Nearest Neighbor (KNN). The best results were obtained by 4-fold cross-validation test i.e. sensitivity was 0,6043, specificity was 0,8703, and F1 score was 0,6383.
Pengembangan Perangkat Lunak untuk Otomatisasi Pengecekan Format Penulisan Dokumen Jurnal Skripsi menggunakan Fitur Tag pada XML (Studi Kasus JPTIIK FILKOM UB) Adhitya Wira Castrena; Imam Cholissodin; Bondan Sapta Prakoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Manual document checking process could take up a lot of time and may have a high error margin if it was not done thoroughly. One of its solution is by using an automatic document checker. An automatic document checker by its definition can significantly reduce the process time. In other words, more document can be checked in the same amount of time. In this research, we use journal from JPTIIK, an organization under Faculty of Computer Science, University of Brawijaya, as a base for the application research. The methods used in this research are string matching on the XML document. The program collects metadata that contains informations about the document, such as font types, font sizes, text modification such as bold, italic, or underline, margin, and many other data. This group of metadata will be compared to the set of rules set before on the application, which was based from the template provided by JPTIIK. The result shows that the program could detect mistakes on the journal and write it into a summarized PDF document that can be read easily by the user. The user then can uses this result as a guidance to fix their journal.
Sistem Pendukung Keputusan Menentukan Peringkat Balita dan Lansia Sehat Menggunakan Metode Analytical Hierarchy Process (AHP) dan Weighted Product (WP) (Studi Kasus: Posyandu Permatasari) Dieni Anindyasarathi; Imam Cholissodin; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 5 (2021): Mei 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the Posyandu, namely Posyandu Permatasari, every month, a health check is carried out for toddlers and the elderly. This health monitoring is seen from several indicators, the recordes on the Kartu Menuju Sehat (KMS). After that, it will be recorded in the reports and the health ranking of toddlers and elderly will be made. In doing the ranking, currently Posyandu cadres are still doing the sorting by manually comparing toddlers and elderly people. So that it takes quite a long time, and sometimes there are writing errors. Therefore, researchers created a system to rank healthy toddlers and elderly people, which is expected to help increase the effectiveness and efficiency of Posyandu cadres in monitoring progress and making reports easier. This research will be made using the Analytical Hierarchy Process (AHP) method to find the weight of the criteria used and the Weighted Product (WP) to rank each alternative using the weight obtained in the AHP calculation. Based on the result of the tests that have been carried out, for toddler data in testing changes in the value of comparison matrix between criteria, for all matrix changes, the accuracy value was 100% with maximum lambda value of 2, CI value 0, and CR value 0. Meanwhile for the elderly data, in the testing changes in the value of comparison matrix between criteria, the highest accuracy value was 90% wih maximum lambda value of 8,361, CI value 0.05157, and CR value 0.03657.
Pengembangan Sistem Informasi Manajemen Proyek Properti Berbasis Website (Studi Kasus: PT. Sona Citra Mandiri) Citra Nadya Dwi Irianti; Imam Cholissodin; Achmad Arwan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

SONA CITRA MANDIRI is a company engaged in construction services located in Malang. There is a problem, namely the manager project does not have special tools in preparing activities and budget plans, so it is made based on estimates with the help of makeshift tools. This process takes a relatively long time and the quality of the design depends on the experience of the manager project who handles it. Project implementation often experiences a setback in completion of work so that it must experience rescheduling. In implementing a project, the use of labor and material tools can deviate from the plan. The occurrence of construction that is not in accordance with the plan needs attention. Needs analysis was carried out by conducting interviews with related parties, and using literature studies on existing problems. Resulting in 66 functional requirements and 3 non-functional requirements. In addition, the design method uses modeling in UML. The programming language uses the programming language PHP, HTML5, CSS3 and Javascript with the Laravel and Inerty Js framework, as well as the MySQL database. The results of the study showed that there were 66 test scenarios and all of them were successful. In unit testing using themethod white box, testing was carried out by referring to the 3 main functions and obtained 7 test scenarios with all of the results obtained.
Co-Authors Achmad Arwan Adam Syarif Hidayatullah Adhipramana Raihan Yuthadi Adhitya Wira Castrena Adinugroho, Sigit Ageng Wibowo Agus Wahyu Widodo Aldino Caturrahmanto Alfen Hasiholan Alif Fachrony Ana Holifatun Nisa Anandita Azharunisa Sasmito Andika Eka Putra Andriko Hedi Prasetyo Anggi Novita Sari Anim Rofi'ah Annisa Alifia Annisaa Amalia Safitri Aqmal Maulana Tisno Nuryawan Ardiansyah Setiajati Arief Andy Soebroto Arina Indana Fahma Arsti Syadzwina Fauziah Atika Anggraeni Aulia Dinia Aulia Herdhyanti Aulia Jasmin Safira Azmi Makarima Yattaqillah Bahruddin El Hayat Bana Falakhi Bayu Andika Paripih Bayu Rahayudi Benita Salsabila Bisma Anassuka Bondan Sapta Prakoso Brendy Oscar Munthe Brigitta Ayu Kusuma Wardhany Budi Darma Setiawan Budi Santoso Candra Dewi Cindy Cynthia Nurkholis Citra Nadya Dwi Irianti Daisy Kurniawaty Danastri Ramya Mehaninda Daneswara Jauhari Daniel Agara Siregar Dellia Airyn Diah Priharsari Dian Eka Ratnawati Dieni Anindyasarathi Dinda Adilfi Wirahmi Diva Kurnianingtyas Dyah Ayu Wahyuning Dewi Edy Santoso Ega Ajie Kurnianto Elisa Julie Irianti Siahaan Ellita Nuryandhani Ananti Elmira Faustina Achmal Ema Agasta Ema Rosalina Eriq Muh. Adams Jonemaro Ersya Nadia Candra Fahri Ariseno Faizatul Amalia Faturrahman Muhammad Suryana Fayza Sakina Maghfira Darmawan Febriyani Riyanda Felicia Marvela Evanita Fendra Gunawan Ficry Agam Fathurrachman Fikhi Nugroho Fildzah Amalia Firda Priatmayanti Fitra Abdurrachman Bachtiar Franklid Gunawan Galih Ariwanda George Alexander Suwito Ghulam Mahmudi Al Azis Gregorius Dhanasatya Pudyakinarya Guruh Adi Purnomo Gusti Reza Maulana Heny Dwi Jayanti Heru Nurwarsito Himawat Aryadita Holiyanda Husada Husin Muhamad I Gusti Ayu Putri Diani Ibnu Rasyid Wijayanto Ichwanda Hamdhani Ika Oktaviandita Indriati Indriati Irma Lailatul Khoiriyah Ishak Panangian Sinaga Istiana Rachmi Izzatul Azizah Jeffrey Junior Tedjasulaksana Khairinnisa Rifna Khairiyyah Nur Aisyah Komang Anggada Sugiarta Kresentia Verena Septiana Toy Kukuh Wicaksono Wahyuditomo Laila Restu Setiya Wati Lailil Muflikhah Leni Istikomah Liwenki Jus'ma Olivia M. Ali Fauzi M. Khusnul Azhari Mahendro Agni Giri Pawoko Marji Marji Maulana Ahmad Maliki Maulana Putra Pambudi Mauldy Putra Pratama Mentari Adiza Putri Nasution Michael David Moch Bima Prakoso Moh. Ibnu Assayyis Mohammad Aditya Noviansyah Mohammad Angga Prasetya Askin Mohammad Toriq Muhammad Aghni Nur Lazuardy Muhammad Dio Reyhans Muhammad Fahmi Hidayatullah Muhammad Fuad Efendi Muhammad Halim Natsir Muhammad Hasbi Wa Kafa Muhammad Hidayat Muhammad Maulana Solihin Hidayatullah Muhammad Nadzir Muhammad Rizal Ma'rufi Muhammad Rois Al Haqq Muhammad Shafaat Muhammad Syafiq Muhammad Tanzil Furqon Muhammad Taufan Mukh. Mart Hans Luber Nabila Lubna Irbakanisa Nabilla Putri Sakinah Nadia Natasa Tresia Sitorus Nadia Siburian Nadiah Nur Fadillah Ramadhani Nining Nahdiah Satriani Noerhayati Djumaah Manis Novanto Yudistira Novirra Dwi Asri Nur Afifah Sugianto Nur Firra Hasjidla Nurul Hidayat Nurul Inayah Obed Manuel Silalahi Panji Husni Padhila Priscillia Vinda Gunawan Putra Pandu Adikara Putri Ratna Sari Radita Noer Pratiwi Randy Cahya Wihandika Ratih Kartika Dewi Rayhan Tsani Putra Renata Rizki Rafi` Athallah Restu Fitriawanti Reyvaldo Aditya Pradana Reza Aprilliana Fauzi Rien Difitria Rinindya Nurtiara Puteri Rio Cahyo Anggono Riski Ida Agustiyan Rizal Aditya Nugroho Rizal Setya Perdana Rizaldy Aditya Nugraha Rizky Ramadhan Rosintan Fatwa Rowan Rowan Sabrina Nurfadilla Salsabila Multazam Sandya Ratna Maruti Sari Narulita Hantari Satria Habiburrahman Fathul Hakim Sayyidah Karimah Shafira Eka Aulia Putri Shelly Puspa Ardina Shibron Arby Azizy Shinta Anggun Larasati Siti Mutdilah Sofi Hidyah Anggraini Stefanus Bayu Waskito Supraptoa Supraptoa Sutrisno Sutrisno Tara Dewanti Sukma Tibyani Tibyani Timothy Bastian Sianturi Tobing Setyawan Tony Faqih Prayogi Tusiarti Handayani Tusty Nadia Maghfira Uke Rahma Hidayah Uswatun Hasanah Utaminingrum, Fitri Vergy Ayu Kusumadewi Veronica Kristina Br Simamora Vinesia Yolanda Vivilia Putri Agustin Vivin Vidia Nurdiansyah Wahyu Bimantara Wanda Athira Luqyana Wicky Prabowo Juliastoro Windy Adira Istiqhfarani Yessica Inggir Febiola Yoseansi Mantharora Siahaan Yudha Ananda Kresna Yudo Juni Hardiko Yuita Arum Sari Yunico Ardian Pradana Yusuf Afandi Zanna Annisa Nur Azizah Fareza