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All Journal Jurnal Teknik Informatika (JUTIF) Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi BEGAWE: Jurnal Pengabdian Masyarakat
Alfian, Iqbal
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Arts Humanities Computer Science & IT Earth & Planetary Sciences Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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Sosialisasi Budikdamber Guna Menjaga Kestabilan Ketahanan Pangan Keluarga Lusianingrum, Farah Putri Wenang; Alfian, Iqbal; Maulana, Iqbal; Zahwa, ST; Wati, Helmalia; Abhinaya, Reswara Faza; Hanifah, Ayu Nur’aliyah; Gantara, Gerald Dewa; Akbar, Muhibudin; Firdausiah, Salsabila
Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi Vol 2, No 2: August 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/ljpmt.v2i2.21354

Abstract

The increase in the unemployment rate in Bojong Pandan Village after the Covid-19 pandemic has threatened the stability of family food security. This condition threatens to make families in Bojong Pandan Village experience difficulties in meeting their basic needs through food. Budikdamber innovation is a solution to maintain family food security stability. However, the community still needs to gain knowledge and skills regarding Budikdamber, so there is a need for synergy between the village government and universities through community service activities. This service aims to increase the participant's knowledge and skills regarding Budikdamber. Implementation methods to support the achievement of the goals of this service include surveys, preparation, implementation, and evaluation. The results obtained from this community service activity were an increase in the participants' knowledge of 47.47%, and all participants could practice the tutorial activities for making Budikdamber. Follow-up of this activity will be routine monitoring at least once a month and innovating variations on fish and plant species other than catfish and water spinach.
PENDAMPINGAN DALAM PEMBENTUKAN KELOMPOK ILMIAH REMAJA (KIR) SMA NEGERI 1 BAROS, BANTEN Aeni, Nurul; Guntara, Yudi; Ratnasari, Desi; Alfian, Iqbal; Riadah, Riadah; Asroriah, Siti; Permana, Yogi; Maharani, Anissa Listiana; Sari, Diah Permana
BEGAWE: Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2023): BEGAWE: Jurnal Pengabdian Masyarakat, Desember 2023
Publisher : Lembaga Berugak Baca

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62667/begawe.v1i2.28

Abstract

Currently, schools are competing to form extracurriculars in the field of writing, especially in the field of scientific writing such as the Youth Scientific Group. SMAN 1 Baros is one of the schools in Serang Regency that has the potential of students in the field of scientific writing. One of the places to shelter this potential is by forming extracurricular Adolescent Ilmiah Group (KIR). Students of PLP-PPLK Physics Education, Untirta, Banten collaborated with physics teachers at SMAN 1 Baros to provide assistance and the formation of the Youth Scientific Group of SMAN 1 Baros (KIBAR). In its implementation, several series of activities were carried out including socialization of KIR, registration of KIBAR members, basic training of scientific papers, research and preparation of scientific papers, and work titles. The result of this assistance is the formation of extracurricular activities of the Youth Scientific Group of SMAN 1 Baros (KIBAR) and its members have been able to make scientific papers. Then the response from the teacher council and students at SMAN 1 Baros was very positive with the establishment of this KIBAR extracurricular.
IMPLEMENTATION OF TEXT PROCESSING FOR SENTIMENT ANALYSIS OF TAX PAYMENT INTEREST AFTER THE "RUBICON" PHENOMENON Gusdiana, Ridian; Alfian, Iqbal; Juliane, Christina
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.5.1014

Abstract

In February 2023, an incident occurred involving the child of an official from the Indonesian Directorate General of Taxes who committed violence against a member of the GP Ansor organization. The news spread widely and brought a new issue, namely suspicious reporting of the official's wealth with an amount of up to 56 billion Indonesian Rupiahs. In order to determine public sentiment towards the "RUBICON" case, which was receiving attention, sentiment analysis of tax payment interest was conducted using text mining techniques. Data processing was done using the R language and RStudio application, taking a dataset of 23,785 tweets from the public about paying taxes on Twitter. Next, text cleaning was done to remove numbers, symbols, and URLs, as well as text processing using stemming, tokenizing, stopword removal, and TF-IDF methods. The TF-IDF method shows that the words "rafael" and "case" are the top keywords. This study used a supervised model by comparing SVM, KNN, and Naive Bayes algorithms, and evaluation was done using a confusion matrix with accuracy results in descending order of 0.8922, 0.8049, and 0.7369. The conclusion of this study is that the SVM algorithm successfully classified sentiment with the highest level of accuracy and obtained the highest negative sentiment of 5,616 sentences.
Co-Authors Abhinaya, Reswara Faza Akbar, Muhibudin Asroriah, Siti Christina Juliane, Christina Desi Ratnasari Farah Putri Wenang Lusianingrum Firdausiah, Salsabila Gantara, Gerald Dewa Guntara, Yudi Hanifah, Ayu Nur’aliyah Iqbal Maulana Maharani, Anissa Listiana Nurul Aeni Riadah, Riadah Ridian Gusdiana Sari, Diah Permana Wati, Helmalia Yogi Permana ZAHWA, ST