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All Journal Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal Peqguruang: Conference Series Journal Online Manajemen ELPEI (JOMEL) Malcom: Indonesian Journal of Machine Learning and Computer Science Innovative: Journal Of Social Science Research Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Taufik, Imran
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Studi Eksplorasi Dimensi Pelayanan Administrasi (KK, KTP, dan Akta Kelahiran) Kantor Desa Bungae Jaya Kecamatan Pallangga Kabupaten Gowa Akil, Nasriah; Misbahuddin; Taufik, Imran; Guntur, Ihsan; Abdullah
Jurnal Online Manajemen ELPEI Vol 4 No 1 (2024)
Publisher : STIM-LPI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58191/jomel.v4i1.227

Abstract

This research was conducted in Gowa Regency by exploring administrative services (KK, ID cards, and birth certificates) as an effort to improve services to the community. The sample in this research was in accordance with the needs based on administrative service providers and their users and the sampling used was based on the setting. Cresswell 1998, after conducting interviews regarding the responses and expectations received, it was continued with validity and reliability tests The results of this research show that the attitude of professionalism that is built by the creativity of each employee in a regional agency by using the facilities as well as possible reflects the service they provide.
Self Confidence Konten Kreator Tiktok Makassar : Efek Hate Comment Dan Mental Health Melalui Apresiasi Guntur, Ihsan; Akil, Nasriah; Misbahuddin; Taufik, Imran; Abdullah
Jurnal Online Manajemen ELPEI Vol 4 No 2 (2024)
Publisher : STIM-LPI Makassar

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

Abstract

This research aims to find out how much trust each content creator has in Makassar, seen from the number of bad comments, their mental readiness and from the amount of appreciation,This research aims to find out whether there is an influence of Hate Comments and Mental Health on Self Confidence through Appreciation of Content Creators of the TikTok Application in Makassar. This research method uses a questionnaire in taking research samples. This research technique uses a smart PLS application with 73 respondents. The research results have been tested for validity and reliability, as well as Specific Direct Effects and Specific Indirect Effects and Hypothesis Testing.The research results show that a person's self-confidence is most influenced by themselves, not external influences. If someone is able to manage their mental health well, and for the Hate comment phenomenon, it will have an effect if there is appreciation from other people. So to support someone having Self Confidence, good mental health is needed which will of course support him to become a quality human resource and conversely if someone is unable to manage his mental health then his self confidence will decrease.
Analysis Of Themes and Trends in Life Sciences and Biomedical Research Virtual Reality Sahibu, Supriadi; Munsyir, Mulawarman; Gani, Hamdan; Taufik, Imran; Iskandar, Akbar
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 12 No. 2 (2022): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (786.578 KB) | DOI: 10.35585/inspir.v12i2.5

Abstract

The purpose of this study was to investigate the theme of the abstract, the theme of the Title on Virtual Reality in the Sciences and Biomedical Sciences and to investigate the trends of authors and countries who are major contributors to research on virtual reality in the sciences and biomedical sciences, the researchers used metadata from 497 journals. scientifically indexed with topic modeling algorithms. The results of the study found that for virtual reality themes listed in the abstracts of science and biomedical fields, the words that often appear were study and systems related to pediatric surgery, stroke and cancer. Then the research theme in the virtual reality title regarding science and biomedicine is to get words that often appear, namely evaluation and videos that contain about the fields of dental health, stroke and cancer, Furthermore, from a technological point of view, it relates to head-mounted devices to display 2 or 3 dimensions, and educational psychometric technology relates to learning to care for children for students. While the sports side is related to the movement of the body's physical activity in adults. Analysis of research trends for authors and countries that are major contributors to virtual reality research on science and biomedical based on wordcloud analysis with names that often appear in virtual reality is Wiederhold BK and the dominant country is United State.
The Design of a Noise Detection Automatisation Tool in Library – Based on Internet of Things Dhiya, Dhiya Alfiyyah Ansar; Yuyun; Taufik, Imran
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 12 No. 2 (2022): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (609.42 KB) | DOI: 10.35585/inspir.v12i2.12

Abstract

The development of the times and technology produces innovations that facilitate human activities, one of which is for librarians to control and maintain library rooms. This study aimed to implement a noise detection automation tool and a sound monitoring system based on the Arduino nano 33 BLE sense microcontroller in a library room. The Arduino processed the data from the sound sensor through the Edge Impulse platform. Suppose a sound with a value exceeds 0.6 and takes more than 10 seconds. In that case, the warning "QUIET, PLEASE!" will be displayed, and a sound warning will also be issued via a buzzer. The sound warning can be monitored to turn on and off the buzzer through the application. When the librarian wants to turn off the buzzer, they can click the button to turn off the speaker; on the other hand, if they want to keep the buzzer on, they can click the button to turn on the speaker.
Analisis Tren Penelitian Neuro Linguistic Programming Menggunakan Pendekatan Automatic Text Annotation Ian, Muslihan; Sahibu, Supriadi; Taufik, Imran
Journal Peqguruang: Conference Series Vol 6, No 1 (2024): Peqguruang, Volume 6 Nomor 1 Mei 2024
Publisher : Universitas Al Asyariah Mandar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35329/jp.v5i2.4857

Abstract

Analisis tren penelitian merupakan jenis pengolahan bahasa alami untuk menarik suatu kata kunci dari penelitian mahasiswa tentang topik tertentu. Analisis tren penelitian melibatkan dalam membangun sebuah sistem untuk mengumpulkan dan memeriksa topik penelitian mahasiswa yang dibuat dalam repository perpustakaan atau jurnal pada suatu lembaga Pendidikan.Tujuan dari penelitian ini adalah untuk menentukan tren penelitian pada jurnal penelitian suatu lembaga pendidikan, dengan menerapkan pendekatan Automatic Text Anotation dapat menfilter kalimat yang ingin ditemukan dalam suatu jurnal dengan cepat dan efisien.Hasil dari penelitian dari Penelitian ini Melalui penggunaan algoritma LSTM ini, berbagai publikasi dengan tema Sentimen Analisis berhasil dikumpulkan yaitu jurnal nasional dan jurnal internasional tahun tahun 2020-2022 dan diolah secara otomatis untuk mengidentifikasi tren dari penelitian seperti Focus, domain dan Technique yang digunakan dalam penelitian tersebut memperoleh hasil penelitian yakni, dengan menggunakan Skenario split dataset sebesar 90% data latih dan 10% data testing dengan epoch 200 maka didapatkan tingkat akurasi dari permodelan LSTM yaitu sebaesar 93.73%. dan diperoleh validasi akurasi 94.94% dan diperoleh nilai Loss sebesar 0.189% dan validasi Loss sebesar 0.195%. maka dapat disimpulkan bahwa model LSTM dapat melakukan prediksi atau Automatic Text Annotation dikarenakan memiliki akurasi sebesar 100% dari hasil pengujian algoritma.
Implementasi Algoritma Convolutional Neural Network untuk Klasifikasi Jenis Sampah Organik dan Non Organik: Implementation of the Convolutional Neural Network Algorithm for Classifying Types of Organic and Non-Organic Waste Muslihati, Muslihati; Sahibu, Supriadi; Taufik, Imran
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 3 (2024): MALCOM July 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i3.1346

Abstract

Penelitian ini bertujuan untuk mengimplementasikan algoritma Convolutional Neural Network (CNN) dalam klasifikasi sampah organik dan non-organik serta mengukur tingkat akurasi deteksi dan pengenalan objek sampah. Metode CNN digunakan untuk mendeteksi dan mengenali objek dalam citra. Hasil penelitian menunjukkan bahwa model CNN mencapai tingkat akurasi tertinggi sebesar 96.43% setelah enam kali percobaan. Hasil tersebut menunjukkan bahwa aplikasi CNN ini layak untuk diimplementasikan dalam klasifikasi sampah. Penting untuk melakukan beberapa uji coba guna memperoleh hasil akurasi yang optimal dengan memperhatikan dataset dalam proses pelatihan dan pengujian. Kesimpulan dari penelitian ini adalah bahwa model CNN dapat memberikan hasil akurasi yang baik dalam klasifikasi sampah organik dan non-organik, sehingga aplikasi ini memiliki potensi untuk diimplementasikan secara luas
Pengaruh Pelatihan Terhadap Prestasi Kerja Pegawai Kantor Kecamatan Sangalla Kabupaten Tana Toraja Taufik, Imran; Guntur, Ihsan; Misbahuddin; Akil, Nasriah; Abdullah
Jurnal Online Manajemen ELPEI Vol 5 No 1 (2025)
Publisher : STIM-LPI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58191/jomel.v5i1.381

Abstract

This study aims to determine the effect of training on employee performance. This type of research uses a quantitative type, while the sample taken is 42 employees. The simple linear regression analysis technique used in this study with validity testing, reliability testing, and hypothesis testing. The results of the study have been tested for validity and are declared valid with the smallest score of the return on capital indicator of 0.362 and the highest score of work performance (Y) of 0.720 is declared valid. The results of the reliability test that with both variables exceeding Cronbach Alpha> 0.6 so that the study is said to be reliable or worthy of being continued. The results of the study partially show that work training has a positive and significant effect on work performance. With a significance level of 0.002 smaller than 0.05 (0.002 <0.05). Then for the t test with a significance level of 0.05, the value of t1 is obtained: 0.025 = 2.02108 (based on the value of the t statistic table with v = 40 and a significance level = 0.025) while for t count, the value obtained from the data processing that has been done is 3.349 for that it can be concluded that t count> t table, then H0 is rejected and H1 is accepted. For the coefficient of determination based on the existing data, the coefficient of determination (R2) is 0.219. This means that job training has an influence of 21.9% on work performance at the Sangalla District office.
Penerapan Smart Farming dalam Pemberian Nutrisi pada Tanaman Selada Hidroponik Zulkifli; Wabula, Yuyun; Taufik, Imran
JURNAL FASILKOM Vol. 15 No. 1 (2025): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v15i1.8317

Abstract

Selada (Lactuca sativa L.) merupakan salah satu jenis sayuran yang banyak diminati oleh masyarakat Indonesia dan menjadi salah satu tanaman yang dibudidayakan secara hidroponik untuk meningkatkan kualitas serta kuantitas produksi. Teknologi hidroponik dinilai ramah lingkungan, mampu menghasilkan produk yang higienis, mempercepat pertumbuhan tanaman, serta menjaga kualitas hasil panen. Penelitian ini bertujuan untuk mengembangkan dan menguji prototipe sistem hidroponik selada yang dilengkapi dengan pemantauan otomatis terhadap pH air, suhu air, suhu udara, dan kelembaban. Metode yang digunakan adalah penelitian dan pengembangan Research and Development (R&D). Hasil penelitian menunjukkan bahwa prototipe dapat bekerja pada suhu air terendah 23°C, dengan kelembaban tanah dalam kisaran 68–77%. Sistem ini secara otomatis mengaktifkan pompa jika sensor pH mendeteksi kadar yang terlalu rendah atau tinggi. Secara keseluruhan, hasil pengujian menyatakan bahwa prototipe sistem monitoring bekerja dengan baik sesuai perintah dan mampu mendukung efektivitas budidaya tanaman selada secara hidroponik.
Sistem Pengisian Token Listrik Jarak Jauh Berbasis Internet of Things (IoT) Hendra, Hendra; Arda, Abdul Latief; Taufik, Imran
Innovative: Journal Of Social Science Research Vol. 4 No. 6 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i6.16832

Abstract

Penelitian ini menitik beratkan pada sistem KWH digital (Prabayar) dengan mengontrol jarah jauh berbasis iot, Penelitian ini bertujuan (1) Merancang sistem pengisian token listrik jarak jauh berbasis internet of things.(2) mengimplementasikan teknologi ESP32 sebagai mikrokontroler untuk pengisian token listrik dimana dan kapanpun. Pada perancangan alat ini, penulis mencoba membangun sistem pengisian token listrik jarak jauh berbasis internet of things (IOT) dimana sistem bekerja kontrol otomatis pada selenoid yang ada pada KWH meteran untuk menekan angka token yang sudah disiapkan. Pengumpulan data diperoleh melalui observasi, wawancara dan studi pustaka. Model sistem yang dirancang yaitu dengan memasukkan token pada aplikasi android yang akan dikirimkan ke sistem berbasis Internet Of Things (IoT) melalui server cloud (Firebase). Perangkat ESP32 digunakan untuk akses ke jaringan internet melalui Wi-Fi. Dalam pengujian sistem ini membuktikan tingkat keberhasilan yang cukup bagus terletak pada sensor, dimana membaca suara buzzer yang ada pada kwh Meteran sudah cukup akurat, kemudian selenoid menekan sesuai inputan diaplikasi, berdasarkan jumlah pengujian sebanyak 5 kali disistem waktu total yang dihasilkan selama 125 detik maka rata-rata waktu yang dibutuhkan untuk satu kali pengisian token yaitu 25 detik sedangkan pengujian manual dihasilkan 145 detik maka rata-rata waktu yang dibutuhkan untuk satu kali pengisian token 29 detik.
Co-Authors Abdul Latief Arda Abdullah Akbar Iskandar Dhiya, Dhiya Alfiyyah Ansar Guntur, Ihsan Hamdan Gani Hendra Hendra Ian, Muslihan Misbahuddin Munsyir, Mulawarman Muslihati Nasriah Akil Sahibu, Supriadi Wabula, Yuyun Yuyun Zulkifli