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Decision Support System for Optimizing Rastra Distribution Routes Using Genetic Algorithm Halimatuz Zuhriyah; D. Kartono; Purbandini Purbandini; Anindya Ananda Hapsari
Jurnal Informatika Universitas Pamulang Vol 8, No 2 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v8i2.33353

Abstract

Vehicle Routing Problem (VRP) is an optimal route design from a group of vehicles that deliver goods to a set of customers with a certain demand. VRP was widely studied as part of solving the distribution efficiency which minimizes the cost of traveled vehicle. Bulog Subdivre South Surabaya distribute Rastra to every village which has constraint of Multi depot and Split delivery (MDSDVRP). This study aims to minimize the traveled distance of MDSDVRP (Rastra distribution) using  Genetic Algorithm (GA) and to find out the efficiency of the route solution. The research covers the steps to solve MDSDVRP using GA to generate feasible and efficient solution route. Then development of a Decision Support System (DSS) that applies the algorithm is implemented on web platform and the result of route solution is presented on the mobile platform. The system testing is carried out to test the user satisfaction (83.8%) which found that overall users were considered very agree, good, like for each component of user satisfaction. The traveled distance is compared between GA route and routes of the original data from 2013-2017. The efficiency of GA was evaluated and found that the traveled distance from the previous route is reduced by 3.7% (444 km) and in 2017 is reduced the distance traveled by 9.5 % (1,093 km). The GA can generate a better solution and optimize the distance than the original route.
Pengenalan dan pelatihan Pemilu berbasis IT (E-voting) pada Badan Pengawas Pemilu (Bawaslu ) dan masyarakat di Kota Depok Nora Listiana; Untung Suprihadi; Ribut Nawang Sari; Risna Oktaviati; Halimatuz Zuhriyah; Risma Ekawati; Dwi Rachmawati; Hadi Wijaya; Nur Fitri Dewi; Febria Anjara; Anindya Hapsari
Pengabdian Masyarakat Ilmu Pendidikan Vol. 3 No. 2 (2023): JURNAL PEMIMPIN - PENGABDIAN MASYARAKAT ILMU PENDIDIKAN - Edisi Agustus 2023
Publisher : FKIP Universitas Citra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37792/pemimpin.v3i2.1013

Abstract

Abstrak Partisipasi pemilih dalam Pemilihan Umum menjadi salah satu kebutuhan untuk keberlanjutan demokrasi agar tidak terhambatnya sistem politik di Indonesia. Munculnya e-voting diharapkan dapat meningkatkan partisipasi pemilih pada Pemilihan Umum. Pemilih pemula lebih memiliki intensi untuk menggunakan e-voting pada pemilihan umum dibandingkan pemilih dewasa dan pemilih orang tua. Responden yang temasuk pemilih pemula dalam penelitian tersebut merupakan responden pada usia sekolah dan kuliah yang memiliki kemampuan untuk menggunakan teknologi, menerima dan terbuka adanya teknologi baru. Namun, di tengah optimisme pemerintah dalam penerapan e-voting, muncul tantangan besar bagi pemerintah yaitu masih awamnya masyarakat tentang e-voting. Kata Kunci : E-voting, Pemilu Teknology. Abstract Voter participation in general elections is one of the necessities for the continuation of democracy so that the political system in Indonesia is not hampered. The emergence of e-voting is expected to increase voter participation in general elections. Beginner voters have more intention to use e-voting in general elections than adult voters and elderly voters. Respondents who included novice voters in this study were respondents at school and college age who had the ability to use technology, accept and be open to new technologies. However, in the midst of the government's optimism in implementing e-voting, a major challenge arose for the government, namely that the public was still unfamiliar with e-voting. Keywords : Election, E-votting, Technology
A Comparative Study of Decision Tree, Logistic Regression, and Random Forest Models for Identifying Mental Health Issues Among University Students Ahmad Syafei Nursuwanda; Anindya Ananda Hapsari; Halimatuz Zuhriyah; Devan Junesco Vresdian
Journal of Artificial Intelligence and Software Engineering Vol 6, No 2 (2026): Juni (OnProgress)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i2.9775

Abstract

Mental health is an important issue in Indonesia, particularly among university students who are vulnerable to anxiety due to academic pressure, life challenges, and emotional instability. This study compares the performance of three machine learning algorithms Decision Tree, Logistic Regression, and Random Forest for detecting anxiety among university students using Python. The results indicate that Logistic Regression achieved the highest accuracy of 90%, while Decision Tree and Random Forest each achieved 80% accuracy. Evaluation using 20% of the dataset for testing and validation with the Taylor Manifest Anxiety Scale (TMAS) showed that Logistic Regression correctly identified 4 out of 5 students with anxiety. These findings demonstrate that Logistic Regression is the most effective algorithm and has strong potential to support early anxiety detection through a data science–based approach.
PENGUATAN LITERASI TEKNOLOGI DAN KESADARAN HEMAT ENERGI MELALUI PROGRAM PENGABDIAN MASYARAKAT LDK AL-AMIN UNIVERSITAS GLOBAL JAKARTA DI YAYASAN ASUWAIN TIMOR Ali Ridho; Yupiter Yancik; Ariep Jaenul; Halimatuz Zuhriyah; Anindya Ananda Hapsari; Febria Anjara
Jurnal Pengabdian Ibnu Sina Vol. 5 No. 2 (2026): Jurnal Pengabdian Ibnu Sina
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat, Universitas Ibnu Sina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/j-pis.v5i2.150900046

Abstract

Perkembangan teknologi dalam kehidupan sehari-hari menuntut masyarakat memiliki pemahaman yang baik mengenai pemanfaatan teknologi secara aman, bijak, dan bertanggung jawab, termasuk dalam penggunaan energi listrik. Kegiatan pengabdian kepada masyarakat ini dilaksanakan sebagai upaya memperkuat literasi teknologi dan kesadaran hemat energi melalui pendekatan edukatif-partisipatif di Yayasan Asuwain Timor. Kegiatan dilaksanakan oleh LDK Al-Amin Universitas Global Jakarta pada 22 Juli 2026 dengan tema “Satu Hati dalam Berbagi, Satu Langkah dalam Mengabdi”. Metode kegiatan meliputi tahap persiapan, edukasi dan pendampingan, kegiatan sosial, serta evaluasi deskriptif-kualitatif. Materi edukasi mencakup pengenalan teknologi dasar, penggunaan perangkat elektronik sesuai fungsi, keselamatan dasar penggunaan listrik, serta kebiasaan sederhana dalam menghemat energi. Pengumpulan data dilakukan melalui observasi, dokumentasi, dan komunikasi langsung dengan peserta dan pihak mitra. Hasil kegiatan menunjukkan bahwa program dapat dilaksanakan secara partisipatif melalui interaksi langsung antara fasilitator dan peserta, sekaligus menghasilkan luaran berupa edukasi literasi teknologi dan kesadaran hemat energi yang kontekstual dengan kehidupan sehari-hari. Kegiatan juga mengintegrasikan transfer pengetahuan dengan kepedulian sosial melalui penyerahan donasi dan piagam kepada mitra. Program ini menjadi bentuk hilirisasi pengetahuan bidang Teknik Elektro dalam penyampaian edukasi teknologi dan energi yang sederhana serta aplikatif. Kegiatan selanjutnya dapat dikembangkan melalui pendampingan berkelanjutan, media pembelajaran interaktif, demonstrasi teknologi sederhana, dan evaluasi kuantitatif untuk mengukur dampak kegiatan secara lebih terukur.