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All Journal Natural Science: Journal of Science and Technology MEKTRIK JURNAL ILMIAH MATEMATIKA DAN TERAPAN INSIST (International Series on Interdisciplinary Research) ScientiCO : Computer Science and Informatics Journal BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) IWJ : Inland Waterways Journal The Indonesian Journal of Computer Science Jurnal Ekonomi Manajemen dan Kewirausahaan

Andi Hendra

Tadulako University

Author-ID : 279323

Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Transportation Veterinary Other

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MENENTUKAN NILAI PRODUKSI INDUSTRI ROTAN CV. BUDI MULYA DENGAN MENGGUNAKAN METODE DEKOMPOSISI LU PADA MODEL EKONOMI LEONTIEF Werokati, I; Musdalifah, Selvy; Hendra, A
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 9 No. 1 (2012)
Publisher : Program Studi Matematika, Universitas Tadulako

MENENTUKAN NILAI PRODUKSI INDUSTRI ROTAN CV. BUDI MULYA DENGAN MENGGUNAKAN METODE DEKOMPOSISI LU PADA MODEL EKONOMI LEONTIEF

ENKRIPSI AFFINE CIPHER UNTUK STEGANOGRAFI PADA ANIMASI CITRA GIF Musdalifah, Selvy; Hendra, A
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 9 No. 1 (2012)
Publisher : Program Studi Matematika, Universitas Tadulako

ENKRIPSI AFFINE CIPHER UNTUK STEGANOGRAFI PADA ANIMASI CITRA GIF

Penerapan Algoritma Dijkstra Untuk Menentukan Rute Terpendek Dalam Distribusi Darah Di Palang Merah Indonesia Kota Palu Berbasis Mobile Dival Maulana, Muhammad; Hendra, Andi; Yudhaswana, Yuri; Anshori, Yusuf; Ar. Lamasitudju, Chairunnisa
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4454

Efficient blood distribution is crucial for the Indonesian Red Cross (PMI) to save lives. This research develops a mobile-based blood distribution system that utilizes Dijkstra's Algorithm to determine the shortest delivery routes. The system is specifically designed for PMI in Palu City, assisting drivers in finding optimal paths and monitoring blood stock availability in hospitals in real-time. A prototyping method was employed for development, while the Google Maps API enables accurate route visualization. Research results indicate that Dijkstra's Algorithm reduces blood distribution time by 15-20% compared to the previously used manual methods. Additionally, this system facilitates better management of blood stocks and increases distribution speed. Blackbox testing ensures that all features function according to specifications. This research contributes to enhancing blood distribution efficiency at PMI, with the hope of minimizing the risk of blood shortages. Future research is recommended to further develop the system on a larger scale to address more complex distribution challenges.

PUBLIC SENTIMENT ANALYSIS OF 'DIRTY VOTE' DOCUMENTARY FILM ON TWITTER USING NAÏVE BAYES WITH GRID SEARCH OPTIMIZATION Bagaskara, Febrian Chrissma; Syahrullah, Syahrullah; Hendra, Andi; Lamasitudju, Chairunnisa; Rinianty, Rinianty
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 6 (2024): JUTIF Volume 5, Number 6, Desember 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.6.2682

The film "Dirty Vote" provides a realistic depiction of alleged fraud issues within Indonesia's democratic system, released ahead of the 2024 elections. This has sparked various public opinions, both in favor of and against the film, potentially affecting the stability of Indonesia’s democratic system. The aim of this research is to analyze the public's reaction to the "Dirty Vote" documentary, which could serve as a consideration for assessing public awareness in rationally responding to a film and improving the quality of democracy in Indonesia. This research will test the accuracy of data used in classification using the Naive Bayes Classifier based on collected Twitter data. The evaluation results of the Naive Bayes model for sentiment classification showed an accuracy of 86%, with a precision of 84% and a recall of 91%. When compared to the implementation of hyperparameter tuning using grid search with a stratified k-fold combination and parameter configurations for alpha: [0,1], binarize: [0.0], and fit prior: [true, false], better results were obtained with an accuracy of 90%, a precision of 87%, and a recall of 94%. This demonstrates that using parameter optimization methods from grid search can help improve the accuracy of a classification model. It is hoped that this research will contribute significantly to the development of Indonesia’s democratic system, particularly in raising public awareness to think more rationally and critically when evaluating and analyzing a film.

Pemberdayaan Masyarakat Melalui Program Desa Digital: Pengenalan dan Pelatihan Sistem Informasi Desa Yudhaswana, Yuri; Hendra, Andi; Ardiansyah, Rizka; Wirdayanti, Wirdayanti; Ngurah, Gusti
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 2 (2025)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v6i2.11974

Transformasi digital pemerintah menjadi fokus utama untuk meningkatkan efisiensi dan transparansi pelayanan publik di Indonesia, sesuai dengan UU No. 6 Tahun 2014 tentang Desa dan Permendesa No. 7 Tahun 2021. Namun, penerapan teknologi digital di pedesaan masih menghadapi kendala, seperti keterbatasan infrastruktur dan rendahnya literasi digital aparatur desa. Desa Watumaeta, misalnya, kesulitan dalam mengelola informasi dan memberikan layanan secara efektif. Untuk mengatasi masalah ini, program “Pemberdayaan Masyarakat melalui Implementasi Program Desa Digital” dilaksanakan dengan pendekatan Technology Transfer. Program ini memberikan pelatihan intensif tentang penggunaan Sistem Informasi Desa (SID) untuk meningkatkan kapasitas teknis aparatur desa. Metode yang diterapkan meliputi analisis kebutuhan, pengembangan materi pelatihan, pelatihan langsung, evaluasi, serta pendampingan berkelanjutan melalui pendekatan transfer teknologi. Hasilnya menunjukkan peningkatan signifikan dalam keterampilan aparatur desa, efisiensi pengelolaan data, dan pelayanan publik berbasis digital. Desa Watumaeta diharapkan menjadi contoh desa digital yang transparan dan responsif.

PENGARUH MOTIVASI DAN DISIPLIN KERJA TERHADAP KINERJA PEGAWAI PADA KANTOR KECAMATAN MANGGALA KOTA MAKASSAR Saputra, Muh Wahyu Saputra; Hendra, Andi; jumaida, jumaida
Jurnal Ekonomi Manajemen dan Kewirausahaan Vol 2 No 4 (2025): JEKOMERS
Publisher : STIM-LPI Makassar

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

ABSTRAK Penelitian rini rbertujuan runtuk rmengetahui rpengaruh rmotivasi rkerja rdan rdisiplin rkerja rterhadap rkinerja rpegawai rbaik rsecara rparsial rmaupun rsimultan. rPenelitian rdilakukan rdi rKantor rKecamatan rManggal rKota rMakassar rdengan rmenggunakan rmetode rkuantitatif. rVariabel rindependen rdalam rpenelitian rini radalah rmotivasi rkerja r(X1) rdan rdisiplin rkerja r(X2), rsedangkan rvariabel rdependen radalah rkinerja rpegawai r(Y). rData rdikumpulkan rmelalui rpenyebaran rkuesioner rkepada r32 rresponden ryang rmerupakan rpegawai rdi rKantor rKecamatan rManggal rKota rMakassar. rTeknik ranalisis rdata ryang rdigunakan rmeliputi ruji rvaliditas, ruji rreliabilitas, ranalisis rregresi rlinear rberganda, ruji rt r(parsial), rdan ruji rF r(simultan). rHasil rpenelitian rmenunjukkan rbahwa: rMotivasi rkerja rberpengaruh rpositif rdan rsignifikan rterhadap rkinerja rpegawai rdengan rnilai rkoefisien rregresi rsebesar r0.555 rdan rnilai rsignifikansi r0.000. rDisiplin rkerja rberpengaruh rpositif rdan rsignifikan rterhadap rkinerja rpegawai rdengan rnilai rkoefisien rregresi rsebesar r0.711 rdan rnilai rsignifikansi r0.000. rMotivasi rkerja rdan rdisiplin rkerja rsecara rsimultan rberpengaruh rsignifikan rterhadap rkinerja rpegawai rdengan rnilai rsignifikansi r0.000, ryang rlebih rkecil rdari rtingkat rsignifikansi r0.05. rKesimpulan rdari rpenelitian rini radalah rmotivasi rkerja rdan rdisiplin rkerja rmemiliki rpengaruh ryang rsignifikan rterhadap rkinerja rpegawai, rbaik rsecara rparsial rmaupun rsimultan. rOleh rkarena ritu, runtuk rmeningkatkan rkinerja rpegawai, rmanajemen rperlu rmemperhatikan rpeningkatan rmotivasi rkerja rmelalui rpemberian rpenghargaan, rinsentif, rserta rpeluang rpengembangan rkarier, rserta rmemastikan rpenerapan rdisiplin rkerja ryang rkonsisten

Co-Authors Afni, N Agusman Sahari Amriana Amriana Asrul Sani Bagaskara, Febrian Chrissma Bakhtiar, Arfiah Chairunnisa Ar. Lamasitudju Deny Wiria Nugraha Dival Maulana, Muhammad Firzatullah, Raden Muhamad Gazali Lembah Huzaimah Huzaimah I Wayan Sudarsana Jumaida, Jumaida Lamasitudju, Chairunnisa Muhammad Rivai Ngurah, Gusti Nouval Trezandy Lapatta Rinianty, Rinianty Rizka Ardiansyah Rizki Amalia Saputra, Muh Wahyu Saputra Selvy Musdalifah Sulistiawati Mendi Syahrullah Syahrullah Werokati, I Wirdayanti Yudhaswana, Yuri Yusuf Anshori

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