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Tematik : Jurnal Teknologi Informasi Komunikasi

tematik
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Published by POLITEKNIK LP3I BANDUNG

ISSN : 23559055 EISSN : 24433640 DOI : 10.38204

Core Subject : Science,

Computer Science & IT

TEMATIK - Jurnal Teknologi Informasi Dan Komunikasi merupakan jurnal ilmiah sebagai bentuk pengabdian dalam hal pengembangan bidang Teknologi Informasi Dan Komunikasi serta bidang terkait lainnya. TEMATIK - Jurnal Teknologi Informasi Dan Komunikasi diterbitkan oleh LPPM dan Program Studi Manajemen Informatika di Politeknik LP3I Bandung. Redaksi mengundang para dosen, peneliti dan professional dari dunia industri dan kerja untuk menulis karya ilmiah dan pengalaman praktis di lapangan terkait implementasi Informatika dan Komputer.

Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi

Articles 264 Documents

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Pengembangan Aplikasi E-UKM Berbasis Android Untuk Mendukung Era Digitalisasi Badan Eksekutif Mahasiswa Universitas Bina Insani Arifin, Rita Wahyuni; Apriani, Rika; Wicaksono, Harjunadi; Prameswara, Andhika; Nabila SO, Khairunisah; Romlah, Siti
TEMATIK Vol 10 No 1 (2023): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2023
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v10i1.1344

Abstract Student Activity Units (UKM) are student organizations where students with similar interests, hobbies, creativity, and orientations for extracurricular activities on campus gather. In the recruitment process of UKM members, it is currently conducted manually, where biodata forms are distributed to prospective members and collected by the UKM committee. The function of E-UKM BIU is to assist students and UKM committee members in facilitating the recruitment process of new members by utilizing E-UKM BIU. As it evolves, data from each UKM in Universitas Bina Insani is required. Additionally, there is also student data involved in the registration process, where the input data will be stored in a database and retrieved for the registration process conducted by the students. The software used in developing BIU E-UKM is Android Studio and Java, while the database utilizes SQLITE. Keywords: Android, Digitalization, Student Activity Unit (UKM), Prototype Abstrak Unit Kegiatan Mahasiswa (UKM) adalah organisasi kemahasiswaan tempat para mahasiswa yang memiliki minat, hobi, kreativitas, dan orientasi yang sama untuk kegiatan ekstrakurikuler di kampus berkumpul. UKM dalam proses rekrutmen anggota masih dilakukan secara manual dimana dengan menggunakan biodata yang dibagikan kepada calon anggota dan dikumpulkan kepada pengurus UKM. Fungsi E-UKM BIU adalah untuk membantu mahasiswa dan pengurus UKM dalam memfasilitasi proses rekrutmen anggota baru dengan memanfaatkan E-UKM BIU. Dalam perkembangannya dibutuhkan data dari setiap UKM yang ada di Universitas Bina Insani, selain itu juga terdapat data mahasiswa dalam proses pendaftaran dimana data input akan disimpan dalam database dan data tersebut akan diambil untuk proses pendaftaran yang dilakukan oleh mahasiswa. Perangkat lunak yang digunakan dalam pengembangan BIU E-UKM adalah Android Studio dan Java, sedangkan database menggunakan SQLITE. Kata Kunci : Android, Digitalisasi, Unit Kegiatan Mahasiswa, Prototipe

Penerapan Metode Reorder Point dan Economic Order Quantity Untuk Mengendalikan Persediaan Barang Pada Aplikasi Pengendalian Inventori CV. Keke Saputra Erga Ivan Saputra; Henry Bambang Setyawan; Nurcahyawati, Vivine
TEMATIK Vol. 10 No. 2 (2023): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2023
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v10i2.1466

CV Keke Saputra merupakan perusahaan yang bergerak pada bidang perdagangan barang retail seperti Alat Peraga Pendidikan (APE), pakaian jadi, alat tulis, perlengkapan kantor, dan alat kesehatan. Terdapat permasalahan yang saat ini terjadi pada CV. Keke Saputra yaitu, sering terjadinya kehabisan persediaan barang atau out of stock dari barang yang diinginkan pembeli. Sehingga mempengaruhi perusahaan karena melewatkan terjadinya proses penjualan yang berpotensi mendatangkan keuntungan untuk perusahaan. Solusi untuk mengatasi permasalahan ini adalah membuat aplikasi pengendalian inventori yang dapat menentukan titik aman persediaan (Safety Stock), dapat melakukan pengendalian inventori dengan menerapkan metode Reorder Point (ROP) dan Economic Order Quantity (EOQ). Hasil dari penelitian ini menunjukan, bahwa (1) aplikasi dapat melakukan pengendalian inventori karena aplikasi dapat menentukan titik aman persediaan (safety stock), (2) Aplikasi dapat menentukan titik dimana dilakukannya pemesanan kembali dengan nilai dari penerapan Reorder Point (ROP), (3) Aplikasi dapat menentukan seberapa banyak jumlah barang yang dipesan dengan nilai hasil penerapan Economic Order Quantity (EOQ) dan (4) aplikasi dapat meminimalkan angka terjadinya kehabisan atau out of stock pada CV. Keke Saputra sebesar 27% dari data sebelum adanya aplikasi sebesar 36% menjadi hanya 9%.

Implementasi Metode Cosine Similarity Untuk Rekomendasi Pariwisata Berbasis Website Muhammad Ilhamil Mi Roj; Vivine Nurcahyawati; Anjik Sukmaaji
TEMATIK Vol. 10 No. 2 (2023): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2023
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar

Pariwisata merupakan salah satu industri yang menarik untuk dikembangkan secara lebih lanjut oleh suatu daerah, pariwisata merupakan aset strategis yang menjadi pendorong pembangunan pada suatu daerah yang memiliki potensi pariwisata, pariwisata juga telah menjadi salah satu kebutuhan masyarakat yang semakin berkembang dari waktu ke waktu. Masyarakat cenderung berpariwisata karena ingin bersantai dan melakukan banyak hal menyenangkan yang terkadang tidak sempat mereka lakukan. Terkadang banyak wisatawan yang tidak bisa mengambil keputusan untuk mengunjungi tempat pariwisata mana yang cocok dengan kemauan mereka. Maka dari itu dibutuhkannya sebuah sistem yang dapat memberikan rekomendasi alternatif berupa tempat pariwisata dengan menggunakan metode cosine similarity untuk mencari kesamaan dengan komposisi yang sama serta pengujian user acceptance testing untuk mendapatkan hasil uji coba terhadap sistem rekomendasi yang menyatakan berhasil dengan presentase sebesar 90% dari 100%.

Implementasi Teknik Data Mining untuk mendeteksi Gangguan Psikologis Pasca Melahirkan Muhammad Zulfadhilah; Putri Yuliantie
TEMATIK Vol. 10 No. 2 (2023): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2023
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar

Currently, in the health sector, various studies are conducted, one of which is in terms of psychological health. One of the psychological disorders occurs in postpartum mothers, around 10-15% of postpartum mothers experience psychological disorders such as anxiety and depression, the high number is a concern in society, especially families. This research was conducted to assist the government in supporting research priorities on health independence using current technology. This is also a research urgency, namely to minimize psychological disorders that occur in postpartum mothers. One of the problem-solving approaches proposed in this research is to use technology with the implementation of Data Mining which has the advantage of predicting the likelihood of a person having certain diseases or health disorders. Data Mining is an approach that is often used and has been used as a reference in health nursing by using the results in two branches, namely for decision support and policy making. Implementation of the Data Mining algorithm provides exposure to analyze, detect, and predict the presence of disease and assist doctors in making decisions with early detection and appropriate management. One type of data mining is using Naive Bayes. From the results of the model evaluation, it can be concluded that the Naive Bayes model shows good performance in detecting postpartum psychological disorders. Evaluation values describe the model's ability to distinguish between positive and negative classes, with an AUC value of around 0.878. The model's accuracy of about 0.819 indicates its ability to correctly predict about 81.9% of the cases tested. F1-Score and Recall around 0.817 and 0.819 respectively indicate a balance between positive prediction and positive instance-finding ability. The Confusion Matrix also describes the performance of the model. Despite having a significant number of True Positives (TP) (870), the number of False Positives (FP) is noteworthy (162), indicating some false positive predictions.

Penerapan Algoritma K-Means Untuk Penentuan Wilayah Penjualan Potensial Pada Perusahaan Jasa Cleaning Service Syalwa, Reynalda Vonna; Nurcahyawati, Vivine; Wurijanto, Tutut
TEMATIK Vol. 10 No. 2 (2023): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2023
Publisher : LPPM POLITEKNIK LP3I BANDUNG

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Promosi merupakan hal penting bagi perusahaan dalam mendorong penjualan serta membantu konsumen mengenal dan mengingat merek perusahaan. Apabila tanpa promosi yang tepat, suatu bisnis tidak mungkin dikenal konsumen sehingga dapat merugikan pertumbuhan dan penjualan merek. Hal tersebut sama dengan kondisi terjadi di perusahaan cleaning service yang berlokasi di Jawa Timur dimana perusahaan memiliki permasalahan pada saat menerima pelanggan di beberapa tempat yang berbeda di Jawa Timur perusahaan yakni tidak mempunyai informasi tentang area potensial untuk melakukan promosi penawaran jasanya sehingga hal tersebut berdampak bagi perusahaan yaitu tidak dapat merancang promosi yang tepat sasaran dan perusahaan bisa melewatkan peluang bisnis yang berharga. Tujuan dari penelitian ini adalah untuk melakukan pengolahan data penjualan perusahaan dari tahun 2021 sampai dengan tahun 2023 dengan data mining menggunakan pendekatan clustering k-means mengelompokkan 3 cluster yakni Cluster 0 (C0) wilayah kurang berpotensi, Cluster 1 (C1) cukup berpotensi, Cluster 2 (C2) sangat berpotensi. Berdasarkan hasil dari pengolahan data didapatkan Cluster 0 berjumlah 4 wilayah kurang berpotensi yakni wilayah Mojokerto, Jombang, Pasuruan, Malang. Cluster 1 berjumlah 3 wilayah cukup berpotensi yakni wilayah Madura, Gresik, Lamongan. Pada cluster 2 berjumlah 2 wilayah sangat berpotensiyakni wilayah Sidoarjo, dan Surabaya.

Perbandingan Model Klasifikasi C4.5, Naïve Bayes, Support Vector Machine dan K-nearest Neighbor untuk Memprediksi Kelayakan Masyarakat dalam Menerima Bantuan PBI APBD Tutik Ultsa Rahmatika; Nur Alamsyah; Titan Parama Yoga; Budiman
TEMATIK Vol. 10 No. 2 (2023): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2023
Publisher : LPPM POLITEKNIK LP3I BANDUNG

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This research evaluates the eligibility of the community to receive APBD Contribution Assistance (PBI) using four classification algorithms: C4.5, Naïve Bayes, K-Nearest Neighbor, and Support Vector Machine (SVM). There is a problem of inaccurate distribution of assistance, which prompted the selection of these four methods with specific considerations, C4.5 (Decision Tree) is known for its clarity and interpretability, providing an easy-to-understand understanding of the factors that influence classification decisions, Naïve Bayes was selected for its efficiency and speed in training and testing, suitable for large datasets and can be updated quickly with new data, K-Nearest Neighbor (KNN) is used for decision making based on local patterns in the data, useful if the eligibility decision is local or related to the surrounding environment while Support Vector Machine (SVM): Selected for its ability to handle complex and non-linear datasets. The results show that SVM has the highest Weighted Mean Precision, reaching 91.67%, confirming its superiority as the best choice. These findings make a significant contribution to improving the accuracy of determining the eligibility of PBI APBD beneficiaries, supporting targeting accuracy, and ensuring the effectiveness of the assistance program for people in need.

Smart Security Risk Management pada Bali Smart Island menggunakan OSINT, OTGv4.2, dan ISO 31000:2018 Pratama, I Putu Agus Eka
TEMATIK Vol. 10 No. 2 (2023): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2023
Publisher : LPPM POLITEKNIK LP3I BANDUNG

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The integration of web-based services and information on Bali Smart Island, on the one hand, provides convenience, but on the other hand raises issues of threats and risks related to system, data, and information security. Current security testing only uses OWASP and OSINT but is not accompanied by risk assessment and risk management. This research conducted security testing on the Bali Smart Island domain using a combination of OSINT and OWASP Testing Guide (OTGv4.2) accompanied by ISO 31000:208 risk assessment and risk management. The research uses experimental methodology with Proof of Concept (PoC) using the Harvester tool in the target domain. The test results measure the level of risk, accompanied by recommendations. The final results of the research show that the combination of OSINT, OTGv4.2, and ISO 31000:2018, can provide the best and most effective solution for information technology security risk management guidelines on the Bali Smart Island, through security testing, assessing security test results, evaluation, and providing recommendations post-evaluation system improvements. In the future, this research can be continued by using a combination of other tools and methods for web security.

Prototipe Sistem Deteksi dan Monitoring Penurunan Muka Tanah Pada Lahan Pertanian Gambut Berbasis IoT Aulia Fitri; Yulisa Suryana; Ade Putri Maharani; Elisa Fitriana; Ihsanudin; Rudy Ansari; Finki Dona Marleny
TEMATIK Vol. 10 No. 2 (2023): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2023
Publisher : LPPM POLITEKNIK LP3I BANDUNG

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Agriculture on peatlands has great potential to meet food and economic needs but also requires attention to sustainable management. Agriculture on peatlands faces several serious challenges. Peatlands tend to be fragile, with risks of subsidence, fire, and degradation. To overcome the problem of land subsidence in peatland agriculture, action, integration from various parties, and proper monitoring are needed. IoT systems integrated with soil level monitoring can help minimize peatland destruction and improve agricultural sustainability. From the problem of land subsidence in peat farmland, a solution to monitor land subsidence is proposed as a prototype system to detect and monitor land subsidence on peat agricultural land. This system uses an integrated sensor system designed on Arduino and integrated with the web to facilitate the monitoring process. The prototype is designed according to the characteristics of peat farmland. The results obtained from this prototype can vary depending on the complexity of the system and the data collected, from the results of trials and simulations carried out by this system prototype can be an alternative in increasing the productivity and sustainability of peatland while reducing the risk of environmental damage. In the long term, these results can also have a positive impact on agricultural sustainability and peatland sustainability.

Pengembangan Aplikasi Pemantauan Covid 19 Berbasis Web dan Mobile Menggunakan Metode Waterfall Fanza Arga Pradana; Irma Handayani
TEMATIK Vol. 10 No. 2 (2023): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2023
Publisher : LPPM POLITEKNIK LP3I BANDUNG

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The 2019-2020 coronavirus pandemic, commonly known as Covid-19, stands for corona virus disease 2019. It is a disease epidemic event caused by a novel coronavirus called SARS-CoV-2, originally named novel coronavirus 2019-nCov. From March 11 to May 16, 2020, a total of 4,434,653 Covid-19 cases were reported worldwide in more than 216 countries and territories, resulting in more than 302,169 deaths and more than 781,109 recoveries. The main problem is the lack of information and data on the distribution of Covid-19, with the covid19 distribution API can be used as a reference to find out information about covid19. But there are still many people who don't know it, in this case the role of information technology (IT) is needed. These APIs can be visualized in the covid-19 monitoring application using the REST API method. The data can be visualized in the form of a list on a covid-19 monitoring system using the HTTP protocol using the PHP programming language as a web and android with the Kotlin programming language. This system development uses the waterfall method, namely requirements analysis, system design, program code writing, program testing and program implementation. The result of this research is the development of an application to monitor the distribution of covid-19 by implementing the REST method and can be accessed by the public so that information about the distribution of covid-19 can be known more widely.

Analisis Perbandingan Sentimen Pengguna Twitter Terhadap Layanan Salah Satu Provider Internet Di Indonesia Menggunakan Metode Klasifikasi Della Puspita Sari; Budiman; Nur Alamsyah
TEMATIK Vol. 10 No. 2 (2023): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2023
Publisher : LPPM POLITEKNIK LP3I BANDUNG

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The Internet is needed for everyday life, whereas in Indonesia there are many internet service providers, one of which is indihome. Sentiment analysis itself aims to classify a text into Negative, Positive and Neutral classes. On the twitter platform, there are many reviews about internet providers, one of which is indihome, because of poor service or just to appreciate the services provided. Based on the calculation of the results obtained 71.1% negative, 21.1% positive and 7.7% neutral. The data obtained is not balanced, therefore the classification process is assisted using Smote. The results of the comparison of the four methods used are Support Vector Machine, Naïve Bayes, Random forest, Decision tree. From the overall comparison, the highest accuracy without smote or using smote is Support Vector Machine with an accuracy level of 89% AUC level of 89% if using smote gets 93% accuracy and 97% AUC level with 80% training data and 20% testing.

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Home Page

OAI Link

Editorial Team

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Google Scholar

Contact Name Hadiansyah

Contact Email kanghadiansyah@plb.ac.id

Phone +6285220199772

Journal Mail Official tematik@plb.ac.id

Editorial Address Program Studi Manajemen Informatika Politeknik LP3I Bandung Jl. Pahlawan No. 59 Bandung 40123 Telp. (022) 2506500, Fax. (022) 2512564 Email : tematik@plb.ac.id

Location Kota bandung, Jawa barat INDONESIA

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Contact Name
Hadiansyah

Contact Email
kanghadiansyah@plb.ac.id

Phone
+6285220199772

Journal Mail Official
tematik@plb.ac.id

Editorial Address
Program Studi Manajemen Informatika Politeknik LP3I Bandung Jl. Pahlawan No. 59 Bandung 40123 Telp. (022) 2506500, Fax. (022) 2512564 Email : tematik@plb.ac.id

Location
Kota bandung,

Jawa barat

INDONESIA