p-Index From 2021 - 2026
7.183
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan Teknologi dan Kejuruan Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal Teknologi Jurnal Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business Prosiding SNATIKA Vol 01 (2011) Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Jurnas Nasional Teknologi dan Sistem Informasi Tech-E Jurnal TAM (Technology Acceptance Model) Jusikom : Jurnal Sistem Komputer Musirawas Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Keteknikan dan Sains (JUTEKS) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Prosiding Seminar Nasional Darmajaya Jurnal Teknoinfo IJISCS (International Journal Of Information System and Computer Science) Jurnal Teknologi Komputer dan Sistem Informasi Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar JPGMI (Jurnal Pendidikan Guru Madrasah Ibtidaiyah Al-Multazam) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Signaling Jurnal PkM: Pemberdayaan Masyarakat Jurnal Manajeman Pendidikan Al Multazam (JMPA) IJAIRTec JIBTec (Journal of Intelligent Business and Technology Science) Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Journal of Learning Technology Journal of Ethics and Character Education Journal of Marketing and Business Intelligence International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec) Jurnal TAM (Technology Acceptance Model) IJISCS (International Journal of Information System and Computer Science) Jurnal Signaling JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Claim Missing Document
Check
Articles

Found 17 Documents
Search
Journal : Jurnal TAM (Technology Acceptance Model)

PERANCANGAN SISTEM PENDUKUNG PENGAMBILAN KEPUTUSAN UNTUK PENERIMAAN BEASISWA DI SMA PGRI 1 TALANG PADANG DENGAN MODEL FUZZY MULTIPLE ATTRIBUTE MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) Muhamad Muslihudin; Dewi Hartini
Jurnal TAM (Technology Acceptance Model) Vol 4 (2015): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v4i0.35

Abstract

Pendidikan memiliki peran yang sangat penting dalam kehidupan masyarakat, tetapi biaya akan pendidikan yang besar menjadi kendala bagi banyak orang untuk dapat melanjutkan pendidikan. Pemerintah memberikan bantuan pendidikan melalui bantuan beasiswa belajar satu siswa. Oleh karena itu membangun Sistem Pendukung Keputusan (SPK) untuk memecahkan masalah. Dalam menentukan penerimaan beasiswa, banyak sekali kriteria­kriteria yang harus dimiliki oleh individu sebagai syarat dalam mendapatkan beasiswa. Masing­masing sekolah pasti memiliki kriteria­kriteria  untuk menentukan  siapa  yang akan terpilih  untuk menerima  beasiswa.  Pembagian beasiswa dilakukan oleh beberapa lembaga untuk membantu seseorang yang kurang mampu ataupun berprestasi  selama menempuh studinya. Untuk membantu penentuan dalam menetapkan  seseorang yang layak menerima beasiswa maka dibutuhkan sebuah sistem pendukung keputusan. Pada penelitian  ini akan diangkat  suatu kasus yaitu mencari alternative terbaik bedasarkan kriteria­kriteria yang telah ditentukan dengan menggunakan metode SAW (Simple Additive Weighting). Penelitian  dilakukan  dengan  mencari  nilai  bobot  untuk  setiap  atribut,  kemudian  dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu siswa terbaik.
SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN SEKOLAH MENENGAH KEJURUAN (SMK) UNGGULAN DI WILAYAH LAMPUNG TENGAH MENGGUNAKAN METODE TOPSIS Febri Ariyanto; Muhamad Muslihudin
Jurnal TAM (Technology Acceptance Model) Vol 5 (2015): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v5i0.41

Abstract

Determining Appropriate And Best school is not easy. We Must Finding information in schools Yang kita go, then compare and choose which school Suitable Match Criteria. as well as determine the SMK in the region of Central Lampung We Must determine Of different aspect as Material Considerations for review determine SMK seed, and therefore we use a system of decision support using methods Techniques for Preference Order by Similarity to Ideal Solution (TOPSIS) as a method of deciding SMK Featured , Decision Support System (DSS) is a Computer Based Interactive Systems Able to help the local decision makers hearts using data and models to solve an issue reviews are not structured. SPK with Method Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is used for the reviews completed a structured issue Operate Its not simple. Verifying with checklists so that the method, can be doing Effective Decision Making Process. At about articles Singer will discuss the modeling application Method Method Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) hearts determine school SMK (vocational) seed. Criterion Criterion hearts Decisions Needed That Facilites C1, C2 C3 Accreditation Quality, HR Student C4, C5 Costs.
IMPLEMENTATION OF THE VIKOR METHOD FOR DECISION MAKING ON THE ELIGIBILITY OF SOCIAL ASSISTANCE IN THE TPS3R AREA OF PRINGSEWU DISTRICT Mardiyanto, Mardiyanto; Anggraeni, Elisabet Yunaiti; Muslihudin, Muhamad
Jurnal TAM (Technology Acceptance Model) Vol 15, No 2 (2024): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v15i2.1768

Abstract

Poverty is a major social welfare problem in Indonesia. Various efforts have been made by the government to overcome the main problem of social welfare in accordance with the Republic of Indonesia Constitution Number 11 of 2009 concerning social welfare, such as providing social assistance, social rehabilitation, social security, social empowerment, and social protection. Areas that sometimes reflect the large number of poor and underprivileged people are often located in slum areas on the outskirts of the city which are sometimes free from supervision and control from the local government. The Reduce, Reuse, Recycle Waste Management Site (TPS3R) which is a waste management system and technology that is intended as a solution to overcome the problem of waste and its impacts. Through this TPS3R, not only the problem of environmental pollution caused by waste can be reduced, but also products with economic value are produced from waste that is processed by involving the surrounding community so that it obtains benefits. In addition to involving the community to obtain benefits from the existence of TPS3R, this study will examine the variables that determine the eligibility of social assistance recipients using the Bivariate Person and Alpha-Cronbach methods, the aim is to provide social security to the community in the TPS3R area in maintaining the sustainability of the area to remain clean and healthy. To optimize the determination of the eligibility of assistance recipients in the TPS3R area of Pringsewu Regency, the determining criteria will be applied to a system using the Decision Support System model with the implementation of website-based tool tests. By using a website-based system, poverty alleviation programs in the TPS3R area of Pringsewu Regency can be carried out quickly, effectively and efficiently and on target.
SENTIMENT ANALYSIS OF TWITTER (X) USERS TOWARD THE KOPERASI DESA MERAH PUTIH PROGRAM USING SUPPORT VECTOR MACHINE AND NAIVE BAYES METHODS Fauzi, Fauzi; Andini, Bertha; Muslihudin, Muhamad
Jurnal TAM (Technology Acceptance Model) Vol 16, No 1 (2025): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v16i1.1834

Abstract

The emergence of social media as a digital public sphere has opened significant opportunities to capture public opinion directly, including on social programs such as the Koperasi Desa Merah Putih. This program has attracted considerable attention on Twitter; however, public perception remains mixed, ranging from support and skepticism to criticism. This study aims to understand public sentiment through text analysis using two classification algorithms: Naive Bayes and Support Vector Machine (SVM). The results show that Naive Bayes performs better in balancing predictions, achieving an AUC of 0.71 and an F1-score of 0.62. In contrast, SVM, despite a slightly higher accuracy (0.69), was only effective in identifying the neutral class. This tendency indicates that Naive Bayes is more capable of capturing opinion variations in short and unstructured texts such as tweets. Furthermore, the sentiment distribution reveals a dominance of neutral opinions, suggesting the public's inclination to share factual information without explicit emotional expression.
PERANCANGAN SISTEM APLIKASI PENERIMAAN MAHASISWA BARU DI STMIK PRINGSEWU MENGGUNAKAN PHP DAN MYSQL Muslihudin, Muhamad; Larasati, Anggun
Jurnal TAM (Technology Acceptance Model) Vol 3 (2014): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v3i0.24

Abstract

Stmik Pringsewu adalah salah satu instansi pendidikan  di Lampung  yang merupakan instansi terfavorit yang berada di wilayah kabupaten Pringsewu. Stmik Pringsewu sudah mempunyai website tetapi belum melayani pendaftaran mahasiswa baru secara online. Meskipun begitu pada perkembangannya, calon mahasiswa baru yang berminat untuk sekolah atau mendaftar di Stmik Pringsewu tersebut semakin banyak, baik yang dari dalam kota maupun yang dari luar kota, baik yang baru lulus SMU/sederajat maupun yang sudah bekerja. Sehingga dalam perkembangannya tersebut memerlukan pelayanan secara cepat dan tidak membutuhkan waktu yang lama. Dari penelitian yang dilakukan di Stmik Pringsewu, bahwa dengan adanya sistem aplikasi penerimaan mahasiswa baru ini akan mempermudah panitia dalam pengolahan data calon mahasiswa baru dalam proses pendaftaran calon mahasiswa baru sampai proses penerimaan mahasiswa baru yang berada diluar daerah maupun didalam, khususnya wilayah provinsi Lampung, dan menyajikan informasi seputar penerimaan mahasiswa baru bisa diakses langsung melalui media website.
SISTEM INFORMASI PEMASARAN PRODUK UMKM BERBASIS WEBSITE Nungsiyati, Nungsiyati; Febriyani, Eva; Mukodimah, Siti; Muslihudin, Muhamad
Jurnal TAM (Technology Acceptance Model) Vol 15, No 1 (2024): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v15i1.1740

Abstract

This research was conducted to design a marketing information system for Micro, Small and Medium Enterprises (MSMEs). because MSMEs in Payung Batu Village face various problems in developing their business, especially in terms of product marketing. This is due to the lack of effective use of marketing information systems by MSMEs in the village. Therefore, research is needed to examine the use of marketing information systems by MSMEs in Payung Batu Village. In research this system uses a qualitative analysis method that can be used to produce a more comprehensive study of a phenomenon. Data collection in this research system method uses the waterfall method system development method. Because by using this method MSMEs data can have a series of clear and structured system workflows. The results of this study are the application of a web-based system to the MSMEs product marketing information system in Payung Batu Village to increase marketing and sales reach. This research shows that the use of marketing information systems can help improve MSMEs performance and innovation, as well as influence buyer behavior and brand loyalty.
ANALISIS KOMPARATIF METODE MOORA DAN WEIGHTED PRODUCT UNTUK PRIORITAS PENANGANAN BALITA STUNTING Nungsiyati, Nungsiyati; Sofy, Ahyani; Muslihudin, Muhamad
Jurnal TAM (Technology Acceptance Model) Vol 16, No 2 (2025): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v16i2.1868

Abstract

Stunting in toddlers is a public health issue that still requires significant attention. Stunting is a long-term nutritional problem recognized as a national priority. Based on data from the Indonesian Nutritional Status Survey (SSGI), the prevalence of stunting reflects a high risk of developmental disorders that affect a child's future. This study was conducted with the aim of identifying priorities for handling stunted toddlers by comparative analysis of two Decision Support System (DSS) methods, namely MOORA and Weighted Product (WP). This study used a quantitative approach involving interviews, observations, and literature studies conducted in the working area of the Bandung Baru Community Health Center (UPT). Ten toddler alternatives were analyzed based on five criteria: nutritional status (W/A), physical growth (H/A), mid-upper arm circumference (LILA), age, and vitamin A intake. The technical implementation included a normalization process, weighting, preference calculations using the MOORA and WP methods, and sensitivity testing to weight changes. The research findings indicate that both methods produced the highest stable ranking for alternative A9, while the lowest rankings were obtained for A1, A7, and A8. Sensitivity tests showed that the WP method experienced a 2% change in results, while MOORA experienced a 7% change, indicating that WP was more consistent with weight changes. This research is expected to assist community health centers and related institutions in prioritizing stunting interventions more objectively, efficiently, and responsively to policy changes.
Co-Authors -, Nungsiyati Abdul Hamid Adi Prasetia Nanda Agus Salim Ahmad Hilal Yusuf Ali Zainal Abidin Andini, Bertha Andino Maseleno Andoyo, Andreas Andreas Andoyo Andreas Andoyo Anggie Sinthiya, Ida Ayu Putu Anggraeni, Elisabet Yunaiti Anggun Larasati Aprianto, Rudi Ari Bowo Arif Hidayat Ariyansyah Ariyansyah Atif Sidqi Bambang Ari Wibowo Baqiatus Solihah Bella Cahya Juwita Bella Yuristika Fauji Citrawati Jatiningrum Dedi Irawan Desti Tri Lestari Devi Fitriyana Dewi Hartini Dewi Lidia Purwani Dewi Rahayu Dewi, Novi Ayu Kristiana Dian Kusmawati Dian Puspita Didi Susianto Didik Kurniawan Diny Vellyana Dwi Puastuti Dwi Puastuti Eka Pratiwi Evi Haryani Evi Setyorini Fauzi Fauzi Fauzi Febri Ariyanto Febriyani, Eva Fery Susanto Fiqih Satria Fiqih Satria Garaika Guna Yanti Kumala Sari Siregar Pahu handoyo widi nugroho Hanifa, Hanifa Hartati, Sri Helmiyanto Helmiyanto Ika Widyaningrum ikhwan, Ahmad Ikhwan, Ahmad Imam Samsudin Imamuddin Imamuddin Indah Tri Utami Joni Joni Kanti Lestari Karlina Karlina Kasmi Kasmi, Kasmi Kasmi, Kasmi Keni Puspita Sari khusnul khotimah Komariyah Komariyah Larasati, Anggun Leni Anggraeni Leni Anggraeni Lestari, Desti Tri Listiarini, Mei Listiarini, Mei M Agus Badruzaman Al Khoir M Arif Imamudin Maharani Panggestu Mardeli, Iis Mardiyanto Mardiyanto Mardiyanto Mardiyanto Mayangsari Mayangsari Md. Mahmud Hasan Miswan Gumanti Miswan Gumati Muanam, Sahrul Musfika Amrullah Nadiatul Munawaroh Nadya Amalia Nasution Ningrum, Ajeng Amelia Noca Yolanda Sari Nofiko Setio Budi Novantry, Sonny Novia Anggraeni Nungsiyati Nungsiyati Nungsiyati, Nungsiyati Nungsyati, Nungsyati Nur Latifah Oktafiani Oktafiani Oktariyan, Deni Panji Andika Pratomo Primayoga, Bagus Primeidila, Asifa Puspitasari, Tuti Rahima, Gheriya Ramadian, Sabda Iman Renita Fitri Andriyanti Riki Krisdianto Riki Renaldo Riki Renaldo, Riki Riki Riki RIKI RIKI, RIKI Rinjani, Fatma Riski Elivia Zelinda Rita Irviani Rohmat Indra Borman Rudi Aprianto Rustam Rustam Satria, Fiqih Sela Agnes Aprilia Siska Decahyati Siti Mukodimah Siti Rohayati Sodikin Sodikin Sofy, Ahyani Sri Hartati Sri Wahyuni Suhendra Suhendra Sukmiati, Hermin Sukmiati, Hermin Sumarlin, Fitrahayu Susanto, Ferry Suyono Suyono Suyono, Suyono Tamim Fuaidi Abdillah Taufiq Taufiq Tira Anindya, Atifa Tri Handayani, Lilis Tri Susilowati Trisnawati Wahyurial, Achmad Widianto Widianto Willy Renvillia Wulandari Wulandari Wulandari Wulandari Yansahrita, Yansahrita Yudhistira Ardana Yunitasari Yunitasari, Yunitasari Yusuf Setiawan Zahra Zainun Hayatie Zahra, Fista Anisa Zumaroh, Lilik