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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal F. Teknik : RESULTAN Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknik Komputer AMIK BSI Cakrawala : Jurnal Humaniora Bina Sarana Informatika Paradigma Jurnal Ilmiah FIFO Bina Insani ICT Journal Jurnal Pilar Nusa Mandiri Information System for Educators and Professionals : Journal of Information System Jurnal Mahasiswa Bina Insani Informatics for Educators and Professional : Journal of Informatics Information Management For Educators And Professionals (IMBI) Jurnal Teknik Informatika STMIK Antar Bangsa Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Komtika (Komputasi dan Informatika) IKRA-ITH EKONOMIKA Jurnal ICT : Information Communication & Technology JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Kajian Ilmiah Jurnal Sistem Informasi Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Journal of Students‘ Research in Computer Science (JSRCS) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Pengabdian Masyarakat Information Technology (JPM ITech) Journal of Computer Science Contributions (Jucosco) Jurnal Kecerdasan Buatan dan Teknologi Informasi Jurnal Komtika (Komputasi dan Informatika) Journal of Intelligent Systems for Community Development (JISCoDe)
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Strategy Planning for Rice Seed Producer’s Information System Using Anita Cassidy Method Jaja Jaja; Santi Purwanti; Herlawati Herlawati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 8 No 2 (2020): September 2020
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v8i2.2277

Abstract

Strategic planning of information systems on seed producers is an action that needs to be taken in order to maintain and make the business grow faster. However, such information system usually been created through the system development life cycle (SDLC) or other methods that appropriate for business. This study used Anita Cassidy method for strategic planning of rice seed producer’s information systems in XYZ Ltd., as case study. The following stages has been done, i.e. visioning, analysis, direction, and recommendations. The final results of the stages carried out recommend business applications that can be implemented, namely: Rice seed certification information systems, E-Commerce of Rice Seeds, Rice Type Determination Applications, Irrigation Control Applications, Paddy Pest Resolution Applications, Rice Growth Monitoring Applications, Personnel Information Systems, Payroll Information System, Procurement Information System, Financial Information System. Keywords: Information Systems, Information Systems Strategic Planning, Anita Cassidy Method
Culinary Places Recommendation System in Bekasi City Using the Simple Additive Weighting Method Fata Nidaul Khasanah; Herlawati Herlawati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 9 No 1 (2021): Maret 2021
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v9i1.2621

Abstract

Bekasi city, based on data from the Central Bureau of Statistics (BPS) in 2018, shows the average Economic Growth Rate (LPE) of 5.82% from 2013 to 2016. Based on this growth, Bekasi city has business opportunities, for example culinary business, that has already spread around Bekasi city. The number of culinary places can cause problems when visitors determine culinary places that fit their criteria. Many visitors usually rely on information from relatives in determine culinary places, so this allows a mismatch between the recommendations of relatives and the criteria they want. Based on the problem, one of the proposed solutions needs to be made a method to support decisions that can provide recommendations in determining culinary places for visitors. The method used in determining the recommendation of culinary places is Simple Additive Weighting (SAW). In the process of calculating the method there are alternatives and assessment criteria used, there are several assessment criteria, namely price, number of menus, rating, and distance. The result shows the recommended alternative culinary place is the eighth alternative (A8) since the alternative has the highest preference value of 0.85. Therefore, the proposed system can be integrated in the culinary website to support user in choosing the culinary place.
Evaluation of Web-Based Car Park Information System at PPPSRS Puri Casablanca Jakarta Beno Aditya Sanusi; Herlawati Herlawati; Prio Kustanto; Muhammad Harviansyah; Anisa Feby Yana; Ervan Dwi Kurniawan
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 9 No 2 (2021): September 2021
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v9i2.3072

Abstract

Problems in conventional and manual parking are the inability to obtain complete, informative, and interactive parking information because the manual system cannot provide complete parking information. Information technology can be implemented in a parking system to help provide more accurate, fast, and easily accessible information. In addition, the parking system interface can be made user-friendly, hence, the parking attendants can operate it properly. This parking system uses a client-server model with a shared database. The author found problems in the car parking system at PPPSRS Puri Casablanca Jakarta, i.e. still using the previous version of XAMPP. The research methodology used in this study are: Observation Methods, Literature Methods, and Interview Methods. The proposed Car Parking application showed acceptable for use by parking attendants of PPPSRS Puri Casablanca Apartment Jakarta. The menu choices presented are sufficient and the web design is simple so it doesn't confuse the parking attendant.
Android-Based Shortest Path Finding Using A-Star (A*) Algorithm in Bekasi City Herlawati Herlawati; Prima Dina Atika; Ajif Yunizar Pratama Yusuf; Fata Nidaul Khasanah; Endang Retnoningsih; Beno Aditya Sanusi; Gedhe Hilman Wakhid
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 9 No 2 (2021): September 2021
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v9i2.3227

Abstract

Getting information on routes can be he main problem for visitors. For example in determining the route to a proper place for eating and how to find the closest route to a mall. Based on the existing problems, this study proposes an application for finding information about places that visitors want to go based on the closest route. Algorithm A-Star (A*) was implemented that uses the distance estimation by finding the closest path to the destination using a heuristic function as a basis to select from several alternatives effectively. The result showed that an android application can give the information about the location of places to visit for eating and malls by calculating the distance from the starting point to the end point.
Web-Based Recommender System for High School Major Decision Using Forward Chaining Ira Wardani; Prima Dina Atika; Herlawati Herlawati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 1 (2022): March 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i1.4402

Abstract

Education is a learning process for students to develop their potential skills. One of the vocational schools is the State Vocational High School (SMK) 05 Bekasi, that educates students to have high expertise in industrial fields. However, not every student can choose the right major, there are students who choose majors based on the wishes of their parents, and do not know their real potential and abilities, so that the abilities of students are not in accordance with the majors they have chosen. One way that can be used to help choose the right major is to take a preference test that is assessed by a psychologist or the Counseling Guidance section. This method is quite effective, but it takes time especially for large numbers of student. Therefore, the researcher created a website-based recommendation system to identify majors using the Forward Chaining method. The purpose of the research is to make a recommendation system to determine the majors that students will choose. The application are developed using the System Development Life Cycle.
PENERAPAN REST API MENGGUNAKAN RETROFIT UNTUK SISTEM INFORMASI FILM BERBASIS ANDROID (STUDI KASUS: SINOPSIS FILM) Robbie Christhover; Sugiyatno; Herlawati
Journal of Students‘ Research in Computer Science Vol. 3 No. 2 (2022): November 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jsrcs.v3i2.1393

Abstract

Looking for film information is something that is often done before watching, but not infrequently many people waste time and money because the films they watch are not what they want, due to the lack of information on the films they want to watch. From this problem, the author proposes an application by implementing Rest Api Using Retrofit for an Android-Based Film Information System so that it can search for film synopsis, by utilizing an open-source API. The result of this research is an application that will provide information on the synopsis of the film you are looking for to watch. Keywords: Android, Film Information, Film Synopsis, Rest API, Retrofit   Abstrak Mencari Informasi Film merupakan hal yang sering dilakukan sebelum menonton, namun tak jarang juga banyak yang menghabisakan waktu dan uang karena film ditonton tidak sesuai dengan yang inginkan, karena kurangnya Informasi film yang diingin Ditonton. Dari permasalahan ini Peneliti Mengusulkan aplikasi dengan menerapkan Rest Api Menggunakan Retrofit Untuk Sistem Informasi Film Berbasis Android sehingga dapat melakukan pencarian Sinopsis film, dengan memanfaatkan API yang bersifat Open Source. Hasil dari penelitian ini adalah sebuah aplikasi yang akan memberikan informasi Sinopsis film yang dicari untuk ditonton. Kata kunci: Sinopsis Film, Rest API, Android, Informasi Film , Retrofit
Pendeteksian Wajah Bermasker Berbasis Android Menggunakan Algoritma Convolutional Neural Network (CNN) Daniel Jhon Rosinton Hutauruk; Herlawati Herlawati; Andy Achmad Hendharsetiawan
Journal of Students‘ Research in Computer Science Vol. 3 No. 2 (2022): November 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jsrcs.v3i2.1693

Abstract

The masks are an effort that must be made in that is why spreading viruses covid-19 while doing suitable activities indoors and out of the room. In doing suitable activities indoors and out of space we should use a mask to reduce the spread of the virus and must abide by protocols covid-19 health must be implemented in various aspects of life. For that reason, a system that detects the use of a mask when you implement an activity whether to use a mask or not use masks. To perform work use masks can use algorithms convolutional neural networks assisted by graphic user interface (GUI) platform and using the internet of things. Input from algorithm convolutional neural network and using a platform of the internet of things. Input from algorithm convolutional neural network in the form of a picture consisting of 120 image data consisting of 60 image data not wearing masks and 60 image data wearing a mask. The result of this research can detect the mask 100 % according to input image data. Keywords: Computer Visions, Covid-19, Deep Learning, Face Detection, IoT    Abstrak Pemakaian masker merupakan sebuah upaya yang harus dilakukan dalam mengantispasi penyebaran virus Covid-19 saat melakukan sebuah aktivitas baik didalam ruangan maupun diluar ruangan. Dalam melakukan sebuah kegiatan baik didalam ruangan maupun diluar ruangan kita harus menggunakan masker agar mengurangi penyebaran virus Covid-19 serta wajib mematuhi protokol kesehatan yang wajib dilaksanakan dalam berbagai aspek kehidupan. Oleh karena itu, diperlukan sebuah sistem yang mendeteksi pemakaian masker saat seseorang melaksanakan sebuah kegiatan apakah menggunakan masker atau tidak menggunakan masker. Untuk melakukan pendeteksi masker dapat menggunakan algoritma convolutional neural network yang dibantu oleh Graphic User Interface (GUI) serta menggunakan platform Internet of Things. Masukan dari algoritma convolutional neural network berupa sebuah gambar yang terdiri dari 120 data gambar yang terdiri atas 60 data gambar yang tidak memakai masker dan 60 data gambar memakai masker. Hasil dari penelitian ini dapat mendeteksi pemakaian masker 100% sesuai dengan masukan data gambar. Kata kunci: Computer Visions, Covid-19, Deep Learning, Face Detection, IoT
Analisis Sentimen Mengenai Gangguan Bipolar Pada Twitter Menggunakan Algoritma Naïve Bayes Oriza Sativa Dinauni Silaen; Herlawati Herlawati; Rasim Rasim
Jurnal Komtika (Komputasi dan Informatika) Vol 6 No 2 (2022)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v6i2.8198

Abstract

Bipolar disorder is one of the world's most common mental health disorders. To find out public sentiment regarding bipolar disorder, sentiment analysis is carried out through social media to analyze positive or negative sentiments with the aim of maintaining positive sentiment towards the problem of bipolar disorder. Twitter is a social media that is often used to exchange information, discuss, and even express emotions. The emotions of Twitter users can be called sentiment. Sentiment analysis is also carried out to see opinions or tendencies towards an opinion. Opinion tendencies can be in the form of positive or negative sentiments. The data used in this study uses the bipolar keyword. There are 2177 tweets data that were successfully obtained in the crawling process using API key access from Twitter developers, after which the data will be processed using preprocessing. The comparison of the presentations obtained is 70.92% expressing a negative opinion and 29.08% expressing a favorable opinion. The analysis results in this study using the nave Bayes algorithm is with an accuracy value of 92.110092%.
Nutritional Status Classification of Toddlers Using K-Nearest Neighbor Algorithm Nur Amanda Pratiwi; Prima Dina Atika; Herlawati Herlawati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 2 (2022): September 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i2.5604

Abstract

Nutrition is important for the balance of the human body. Knowing the nutritional status is very important to realize the good and the quality human resources. Posyandu Parkit is one of the many Integrated Healthcare Center (posyandu) in Indonesia that provides health services for the community, one of which is monitoring and nutritional development of toddlers. However, the Posyandu Parkit in determining the nutritional status of toddlers is done manually; this method uses measurement parameters based on body weight (BB/U) which are less specific in showing the nutritional status of the toddler by matching manually with a reference standard table available in a healthy card (KMS). The purpose of this research is to produce a website that can determine the nutritional status of toddlers quickly and accurately. The system is designed using the K-Nearest Neighbor method which is a classification method. The K-Nearest Neighbor process is carried out by calculating the distance between the test data and the training data using the Euclidean distance formula, before sorting from the closest distance to the k-th order, then nutritional status is determined. The results of this study are a website that can determine the nutritional status of toddlers by applying the K-Nearest Neighbor algorithm with BB/U, TB/U, and BB/TB accuracies were 93.75%, 87.5%, and 93.75 %, respectively.
Web-Based Mail Search Using the Levenshtein Distance Algorithm Mayora Lolly Ishimora; Herlawati Herlawati; Sri Rejeki
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 2 (2022): September 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i2.5606

Abstract

The use of information technology in filing letters has been widely applied, especially in government institutions. In the Administrative Affairs of the Police Information Technology Bureau, the archiving of incoming and outgoing letters is still done manually, by utilizing records in a large agenda book and stored in a large folder. The absence of a system capable of assisting mail processing causes work to be inefficient, especially in terms of searching for letters. The purpose of this research is to produce a website that can help search letters by applying the Levenshtein Distance Algorithm. The design begins with needs analysis, design, implementation, verification (system testing), operation and maintenance. A website that can search letters by applying the Levenshtein Distance Algorithm was generated. This website is very helpful in the process of searching for letters to the Administrative Affairs of the Police Information Technology Bureau.
Co-Authors A.A. Ketut Agung Cahyawan W Abd Rohman Abdu Malik AlHakim Abdul Kholis Acah Acah Achmad Noe’man Achmad Wira Wiguna Adam Adam Adam Fajariansyah Adi Muhajirin Adi Supriyatna admin admin Aera Santiana Afina Putri Dzulqiyana Agus Hidayat Agus Hidayat Ajie Prasetya Ajif Yunizar Pratama Yusuf Al Ihsan Fauzi Ardilla Andy Achmad Hendhar Setiawan Andy Achmad Hendharsetiawan Andy Achmad Hendharsetiawan Andy Achmad Hendharsetiawan Anggaini, Meri Anindita Septiarini, Anindita Anis Athifah Anisa Feby Yana Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anton Anton Ardiansyah, Muhamad Asmoro Bangun Priambodo Atika , Prima Dina Ayu Afidarisa Rahma Bangga Tua Siregar Bayu Andriansyah Ben Rahman Beno Aditya Sanusi Beno Aditya Sanusi Benrahman Bertnardo Mario Uskono Bhagaskara Farhan Wiguna Binu Nuryadi Budi Santoso Bunga Pratiwi Caroline Julyana Magdalena Christhover , Robbie Dadan Irwan Dani Dani Daniel Jhon Rosinton Hutauruk Desi Puspasari Diah Putri Ramadhani Diah Putri Ramadhani Diah Putri Ramadhani Dicki Rizki Amarullah Didik Setiyadi Dinda Mutiara Hanum Dwi Budi Santoso Dwi Budi Srisulistiowati Dzulqiyana, Afina Putri Eka Puspita Sari Eka Suryani Pratiwi Ekawati, Inna Endang Retnoningsih Erene Gernaria Sihombing, Erene Gernaria Ervan Dwi Kurniawan Fachrullyanta Adi Saputra Fachrullyanta Adi Saputra Fahrika, Andi Ika Faisal Adi Saputra Fata Nidaul Khasanah Feni Meilan Tasiba Firyal Rosiana Dita Frieyadie Galih Apriansha Pradana Gedhe Hilman Wakhid Gilby Lionska Wenas Handry Hartino Haris, Syamsul Alam Harviansyah, Muhammad Haryono Haryono Haryono Hendharsetiawan , Andy Achmad Hendharsetiawan, Andy Achmad Heri Prabowo Hero Suhartono Hero Suhartono, Hero Hutauruk , Daniel Jhon Rosinton I Komang Arya Trisumeikra Icah Fitri Yani Ikhsan Dwikurniawan Ikhsan Dwikurniawan Intan Cahya Syahfitri Intan Cahya Syahfitri Ira Wardani Irham Cahya Nugraha Irwan Raharja Ivan Nur Firdaus Izdihar, Zalfa Jaja Jaja Jaja Jaja Joko Dwi Hartanto Juandika Shevani Julaiwa, Siti Hawa Karnita Afnisari, Karnita Krisendo Setiawan Kukuh Dwi Prasetyo Kurniawan, Ervan Dwi Kustanto , Prio Ladyana Suciani Syafitri Laila Salsabilla Hanifa Lubis, Riski Aditya Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Malikus Sumadyo Marsyanda Salsa Nabila Mayora Lolly Ishimora Media Anugerah Ayu, Media Anugerah Merza Dheo Prakoso Mirza Cahya Ningrum Mochamad Galih Pradipta Muhamad Ardiansyah Muhammad Gymnastiar Muhammad Harviansyah Muhammad Muharrom Muhammad Reinaldy Santoso Muhammad Riky Sudrajat Muhammad Zidan Al Faiq Nabila Ramadhani Sari Naufal Arif Fadilah Naufal Eka Wicaksono Nida Rachmatin Nita Merlina Nita Merlina, Nita Nitin Kumar Tripathi Nitin Kumar Tripathi Noer Hikmah Novaldi Nur Pratama Novianto, Krisna Nunung Hidayatun Nur Amanda Pratiwi Nurchayati Nurchayati Nurcholis Nurcholis Oriza Sativa Dinauni Silaen Pahrizal Pahrizal Popy Purnamasari Wahid Suyitno Pradana , Galih Apriansha Pramod Kumar Priatna , Wowon Prihatin, Sandy Satyo Prilia Hashifah Syafina Prima Dina Atika Purnomo, Rakhmat Purnomo, Rakhmat Purwanti, Santi Putra Aldi Purnama Rafika Sari RAFIKA SARI Rafly Fandiansyah Rahmadanti, Regita Ari Rahmadya Trias Handayanto Rahmadya Trias Handayanto rahmadya trias handayanto Rahmadya Trias Handayanto Rahmadya Trias Handayanto Rahmadya Trias Handayanto Raihan Nurfaidzi Raka Rismayana Rakhmat Purnomo Rakhmat Purnomo Ramadhan, Sahara Ramadhani, Diah Putri Rasim Rasim Rejeki , Sri Retno Nugroho Whidhiasih Retno Sari Riska Utami Dewi Riski Aditya Lubis Rizki Aulianita, Rizki Rizky Maulana Arrasyid Robbie Christhover Robertus Suraji Rosliana, Siti Rusdiansyah Rusdiansyah Sahara Ramadhan Salwa Nabiila Pramuhesti Samsiana , Seta Sandy Satyo Prihatin Sanusi, Beno Aditya Saputra , Faisal Adi Saputra, Fachrullyanta Adi Sari , Rafika SATRIYAS ILYAS Septi Eka Hardyana Septia, Dwi Yoga Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Setyowati Srie Gunarti, Anita Shadriyah , Shadriyah Silaen, Oriza Sativa Dinauni Siti Hawa Julaiwa Siti Masripah Siti Rosliana Siti Setiawati Sohee Minsun Kim Solikin Solikin Solikin Solikin Sri Rejeki Sri Sureni Sugeng Murdowo Sugiyatno , Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sultan Ahmad Rizki Badani Sunandar Sunandar Syadhaffa Gedriyansah Syafira Cessa Agustin Syahbaniar Rofiah Syahfitri, Intan Cahya Syamsul Alam Haris Tambun, Jerisman Jhon Wesli Tata Arya Cahyaaty Teddy Mantoro Tia Monisya Afriyanti Tumbur Togu Tyastuti Sri Lestari Tyastuti Sri Lestari Umi Salamah Umi Salamah Wida Prima Mustika Yana, Anisa Feby Yessi Rahmawati Yugo Bhekti Utomo Yusuf, Ajif Yunizar Pratama