Jurnal Online Universitas Katolik Parahyangan / Parahyangan Catholic University Journal
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Histori dan Visi Gereja Karismatis
No full textThis article seeks to participate in the efforts to revitalize the charismatic dimension within the Church. After centuries of being overly cerebral, the Holy Spirit breathed a new stream of grace in the 20th century. The Catholic Charismatic Renewal Movement, in its own way, interprets the will of the Holy Spirit by vivifying faith in a more cordial manner. Through literature examination, both Church documents and theological works, the author elaborates the journey of this recently overflowing new charismatic consciousness in the Church, as well as the vision of the Church leaders regarding a more charismatic future of the Church. There are many virtuous fruits that have been produced by the Renewal stirred by the Holy Spirit, that the popes argue it would be regrettable if they were not involved in realizing a more vibrant future of the Church. In the end, not only the members of the Renewal are invited to be charismatic but the entire Church must be charismatic in its character. For that reason, the members of the Renewal are expected to be more engaged in the Church’s ministry, and the Church can also be more open in adopting the good practices of the Renewal
Legal Personality of Artificial Intelligence
No full textThis paper examines the ontology of artificial intelligence (AI) within the context of contemporary society. With the rapid progression of technology, the definition of legal subjects has become increasingly ambiguous, as the technological landscape continues to evolve. The orthodox perspective fails to provide adequate solutions to this problem. An alternative approach, as put forth by Visa A.J. Kurki’s bundle theory offers a potential pathway, yet AI’s intrinsic nature surpasses the minimum thresholds defined by Kurki’s model. The authors propose a periscopic model that explores the interaction between the material world and the virtual or augmented sphere, often referred to as the metaverse. This article contends that the current philosophical foundation of law is both outdated and insufficient, primarily due to the shift from singular to plural forms of agency. AI has transitioned from being purely instrumental or intermediary, as observed in Artificial Narrow Intelligence (ANI), to autonomous decision-making entities, exemplified by Artificial General Intelligence (AGI). Drawing on theoretical insights from Yuval Noah Harari, the paper underscores the need for a new conceptual framework to address AI’s lack of a material entity. In conclusion, the paper asserts that the recognition of AI as legal subjects is an inevitable development
KAJIAN KELAYAKAN INVESTASI EKONOMI PADA PERENCANAAN BUS RAPID TRANSIT KOTA PALU
No full textKemacetan merupakan masalah transportasi yang sudah dirasakan hampir di setiap kota di Indonesia, termasuk di Kota Palu. Oleh karena itu perlu adanya optimalisasi angkutan umum di Kota Palu. Melalui Dinas Perhubungan Kota Palu dilakukan penelitian terhadap perencanaan pengoperasian Bus Rapid Transit untuk wilayah Kota Palu. Penelitian ini bertujuan untuk menghitung kelayakan investasi dari segi ekonomi dari perencanaan Bus Rapid Transit Kota Palu yang saat ini sedang direncanakan. Penelitian ini dilakukan dengan menggunakan data perhitungan arus kas berdasarkan Biaya Operasional Kendaraan (BOK) dan tarif yang direncanakan. Analisis kelayakan ekonomi diuji dengan menggunakan penambahan dari penghematan biaya bahan bakar, biaya polusi, biaya kesehatan, dan biaya waktu perjalanan. Hasil penelitian ini menunjukkan bahwa dalam kelayakan ekonomi dari semua kondisi load factor dengan pendekatan Net Present Value (NPV) dan Internal Rate of Return (IRR), pada kondisi load factor 70% dan 50% dapat dikatakan layak, sedangkan pada kondisi load factor 30% belum dapat dikatakan layak
CONSTITUTIONAL ADMINISTRATIVE CONSTITUTIONALISM: PERBANDINGAN KARAKTERISTIK KEKUASAAN LEGISLASI PRESIDEN DI INDONESIA DENGAN AMERIKA SERIKAT
No full textRecent studies conducted by American legal historians show that constitutional interpretation in the United States (U.S.) often arises from administrative agencies, a phenomenon called administrative constitutionalism. This supports the executive branch’s constitutional interpretation power, independent from the court. Similarly, Indonesia’s Constitution grants the President legislative power. By comparing this with U.S. administrative constitutionalism, this article, written descriptively through normative approach, examines the Indonesian President’s legislative power, termed constitutional administrative constitutionalism. The findings highlight three characteristics: (1) the U.S. dichotomy between president and administration does not apply in Indonesia, (2) Indonesia’s checks and balances occur during the debates in legislation drafting phase, unlike the post-enactment review in the U.S., and (3) Indonesia’s system operates under judicial supremacy, unlike the contesting judicial supremacy-departmentalism-popular constitutionalism in the U.S
PELANGGARAN KODE ETIK OLEH HAKIM MAHKAMAH KONSTITUSI SEBAGAI PERBUATAN MELAWAN HUKUM BERUPA NEPOTISME
No full textA code of ethics is a set of written regulations binding members of certain professions, including state officials and judges. For ethical violations by the Constitutional Court judges in Indonesia, an ethics tribunal known as the Honorary Council of the Constitutional Court (MKMK) is authorized to determine whether a breach of the code of ethics has occurred. This study examines whether ethical violations committed by judges as state officials, as determined by the MKMK, can also be prosecuted as unlawful acts, specifically nepotism. Using a normative juridical research method, this study analyzes positive law regarding nepotism as outlined in Law Number 28 of 1999 concerning State Organizer Who is Clean and Free from Corruption, Collusion, and Nepotism, and employs a case study approach, focusing on ethical violations by the Chief Justice of the Constitutional Court, Anwar Usman, as documented in MKMK Decision Number 02/MKMK/L/11/2023. The findings reveal that ethical violations by state officials, such as Constitutional Court judges, may be classified as unlawful acts, including nepotism, provided the ethical violation is substantiated by a formal decision from the ethics tribunal confirming the breach
GOOD FAITH AS LEGAL BENCHMARK FOR THE ALLOCATION OF LOSSES BY MUTUAL COMPANY
No full textAllocation of losses is a special scheme that can only be applied to mutual companies, legal entities that position policyholders as both insured parties and owners. The problem with the allocation of losses arises because, in its determination, policyholders are required to fulfill mutual obligations in the fiduciary realm as owners. On the other hand, the allocation of losses has implications for reducing the policyholder’s right to receive claims as agreed. This paper is a legal research study employing a statutory approach and a conceptual approach. The results of this study indicate that, for the allocation of losses to have legitimacy, it must align with fiduciary principles and be fair based on the terms of insurance agreements. The legal findings suggest that the principle of utmost good faith should be expanded in mutual companies to serve as an instrument of checks and balances by policyholders over management and aspects related to the fulfillment of agreements
PENDEKATAN FAVOR DEFENSIONIS DALAM MEREALISASIKAN HAK TERDAKWA UNTUK MENGHADIRKAN SAKSI ATAU AHLI
No full textAccording to Article 66 of the Indonesian Criminal Procedure Code, public prosecutors are authorized to summon witnesses or experts to strengthen their case against a defendant. In contrast, the defendant is under no obligation to do the same but retains the right to present witnesses or experts in their defense (Article 65). However, challenges arise when defendants must summon witnesses without the backing of pro justitia status, complicating the legitimacy of such summonses. Employing a normative legal approach, it analyzes relevant laws, doctrines, norms, and practices to address the legal inadequacies surrounding the defendant’s right to present exculpatory witnesses or experts, utilizing the Favor Defensionis (FD) doctrine to address these challenges. Key findings include the following: 1) witnesses and experts play a vital role in ensuring verdicts are based on substantive truth, thereby affirming the defendant’s right to present a defense in line with equality of arms and due process principle; 2) ambiguities regarding the pro justitia legitimacy of defendants’ summonses create hesitation among witnesses or experts, impacting their willingness to appear in court; and 3) the FD doctrine supports legal interpretations that favor the defendant to maintain judicial balance. Under this doctrine, public prosecutors should summon witnesses or experts at the request of the defendant or the judge, with judges authorized to order such actions. This approach enables judges’ active judicial participation while preserving defendant’s right to independently call witnesses or experts to support their defense
Seleksi Jabatan Fungsional Umum Inspektur Bandar Udara Dengan Pendekatan Analytic Hierarchy Process (AHP)
No full textAirport Inspector is a strategic position responsible for carrying out technical guidance activities in regulation, control, supervision, investigation and operational safety services in the airport sector. Therefore, assessing and selecting personnel with appropriate abilities, competencies, and performance is essential to ensure that the right candidate fills this position so that services can be provided optimally. The current selection process is considered to be only administrative, does not reflect the expected competencies and performance, and is less transparent, so the results cannot be accounted for. This research solves this problem by optimizing the selection process using one of the Multi Criteria Decisions Method (MCDM) approaches, the AHP method, where this approach has never been used before. Through AHP, the selection process can be carried out in a more structured, objective, transparent, and intuitive manner as expected. This research optimizes the existing assessment criteria so that all parties can still accept the results: Formal Education, Competency, Years of Service, and Work Performance. The result shows that Work Performance has the highest weighting value (0.513), followed by Competency (0.267), Work Period (0.119), and Formal Education (0.101). The synthesis value of all criteria/sub-criteria shows that Candidate 3 is the highest (scale 1 of 1), then Candidate (0.742 of 1), Candidate 4 (0.726 of 1), and Candidate 1 is the lowest (0.665 of 1).Inspektur Bandar Udara adalah jabatan fungsional umum strategis yang bertanggung jawab untuk melaksanakan kegiatan pembinaan teknis di bidang pengaturan, pengendalian, pengawasan, penyidikan, dan pelayanan keselamatan operasional di bidang bandar udara. Oleh karena itu, penilaian dan pemilihan personel dengan kemampuan, kompetensi, dan kinerja yang sesuai merupakan langkah penting untuk memastikan posisi ini diisi oleh kandidat yang tepat sehingga layanan dapat diberikan secara optimal. Proses seleksi saat ini dianggap hanya bersifat administratif, kurang menggambarkan kompetensi dan kinerja yang diharapkan, kurang transparan sehingga hasilnya kurang dapat dipertanggungjawabkan. Penelitian ini memecahkan masalah tersebut dengan melakukan optimasi proses seleksi dengan pendekatan salah satu metode Multi Criteria Decisions Method (MCDM), metode AHP, dimana pendekatan ini belum pernah dilakukan sebelumnya. Melalui AHP, proses seleksi dapat dilakukan lebih terstruktur, objektif, transparan, dan secara intuitif sesuai seperti yang diharapkan. Penelitian ini mengoptimalkan kriteria pada penilaian yang telah ada agar hasilnya tetap dapat diterima oleh semua pihak, yaitu: Pendidikan Formal, Kompetensi, Masa Kerja, dan Performa Kerja. Penelitian ini memberikan hasil bahwa Performa Kerja nilai bobot tertinggi (0,513), kemudian Kompetensi (0,267), Masa Kerja (0,119), dan Pendidikan Formal (0,101). Nilai sintesis seluruh kriteria/sub-kriteria didapatkan bahwa calon dengan bobot prioritas tertinggi adalah Kandidat 3 (skala 1 dari 1), Kandidat 2 untuk prioritas kedua (0,742 dari 1), Kandidat 4 untuk prioritas ketiga (0,726 dari 1), dan Kandidat 1 untuk prioritas terakhir (0,665 dari 1)
Penerapan SHERPA untuk Identifikasi Kinerja dan Human Error Pengoperasian Mesin Induk Kapal Penangkap Ikan
No full textOccupational accidents due to human errors in the operation of main engines on fishing vessels need to be considered because they can be fatal to the ship. This study aims to identify and analyze critical activities in the operation of fishing vessel main engines using the Systematic Human Error Reduction And Prediction Approach (SHERPA) method. The analytical method is to collect data by observation and interviews to fulfill the SHERPA tabulation. SHERPA analysis is closely related to using Hierarchial Task Analysis (HTA) diagrams to determine the amount of activity generated in the operation of fishing vessel main engines. In addition, work intensity analysis is applied to determine the stages that need to be considered in the operation of the main engine. Based on the resulting analysis, the highest work intensity is at the operating stage of the main engine. At the same time, the critical activity level is in closing the fuel faucet and the cooling system water faucet, which are included in the activity category of turning off the main engine. The findings of this study provide insight into handling critical activities in the operation of the main engine so that a strategy is needed to reduce human error in operation. The strategy for reducing this activity is strictly supervising and modifying or adding tools to make it easier for operators. The investigation results can inform the intensity and critical points of human error in the operation of fishing vessel main engines to reduce the occurrence of work accidents.Kecelakaan kerja karena kesalahan manusia pada pengoperasian mesin induk di kapal penangkap ikan perlu diperhatikan karena dapat berakibat fatal pada kapal. Tujuan dari penelitian ini adalah mengidentifikasi dan menganalisis aktifitas kritis pengoperasian mesin induk kapal penangkap ikan dengan metode Systematic Human Error Reduction And Prediction Approach (SHERPA). Metode analisis yang digunakan yaitu dengan mengumpulkan sejumlah data baik secara observasi dan wawancara untuk memenuhi tabulasi SHERPA. Analisis SHERPA sangat berkaitan dengan penggunaan diagram Hierarchial Task Analysis (HTA) untuk menentukan jumlah kegiatan yang dihasilkan pada pengoperasian mesin induk kapal penangkap ikan. Selain itu analisis intensitas kerja diterapkan untuk mengevaluasi tahapan-tahapan yang perlu diperhatikan pada pengoperasian mesin induk. Berdasarkan analisis yang dihasilkan intensitas kerja yang paling tinggi berada pada tahap pengoperasin mesin induk. Sedangkan tingkat kritis aktifitas berada pada aktifitas Penutupan kran bahan bakar dan Penutupan kran air sistem pendingin yang termasuk dalam kategori aktifitas mematikan mesin induk. Temuan penelitian ini memberikan wawasan untuk penanganan aktifitas kritis pada pengoperaian mesin induk sehingga perlu adanya strategi untuk menurunkan kesalahan manusia dalam pengoperasian. Strategi dalam menurunkan kegiatan ini yaitu dengan pengawasan ketat dan modifikasi atau penambahan alat untuk mempermudah operator. Hasil investigasi dapat menginformasikan intensitas dan titik kritis kesalahan manusia dalam pengoperasian mesin induk kapal penangkap ikan sehingga dapat mengurangi terjadinya kecelakaan kerja
Analisis Sentimen Data Ulasan Pengguna MyPertamina di Twitter dengan Metode Text Mining
No full textTo ensure that the distribution process of subsidized fuel is more well-targeted, PT Pertamina has developed an application called MyPertamina. The increasing number of MyPertamina users has led to an increasing number of reviews related to the use of MyPertamina. Reviews of MyPertamina fill various social media channels, including Twitter. However, the analysis of user perceptions through social media has not been optimal. Therefore, a better user sentiment mapping is needed. This study was conducted to answer this need by building a text mining model and designing a prototype that can extract and analyze sentiments from tweets related to MyPertamina. This research adopts the CRISP-DM methodology, which consists of business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The data obtained for model development reached 6,920 tweet data. Each data was classified into one of three sentiment categories, namely positive, negative, and neutral. After data preparation, 2,057 data were used for model development. The models tested in this study consist of Support Vector Machine (SVM), Multinomial Naïve Bayes, Gaussian Naïve Bayes, Long Short-Term Memory (LSTM), and Bidirectional Long Short-Term Memory (Bi-LSTM) algorithms. The model that produced the best evaluation score and was selected for prototype development is the SVM model with an accuracy score of 83.74%, weighted precision of 83.96%, weighted recall of 83.74%, and weighted F1-score of 83.72%. The prototype is used for extracting and predicting sentiment for new datasets, which can then be visualized in the form of graphs and word clouds according to the user\u27s needs.Untuk menjamin proses penyaluran Bahan Bakar Minyak (BBM) subsidi tepat sasaran, PT Pertamina membangun aplikasi MyPertamina. Pengguna MyPertamina semakin banyak sehingga semakin banyak juga ulasan terkait penggunaan MyPertamina. Ulasan-ulasan perihal MyPertamina membanjiri berbagai kanal media sosial, salah satunya Twitter. Namun, analisis persepsi pengguna dengan media sosial belum maksimal. Oleh karena itu, dibutuhkan pemetaan sentimen pengguna secara lebih baik. Penelitian ini dilakukan untuk menjawab kebutuhan tersebut dengan membangun model text mining serta merancang prototipe yang dapat mengekstraksi dan menganalisis sentimen dari tweet yang berhubungan dengan MyPertamina. Penelitian ini mengadopsi metodologi CRISP-DM yang terdiri dari pemahaman bisnis, pemahaman data, persiapan data, pemodelan, evaluasi, hingga deployment. Data yang diperoleh untuk pembangunan model mencapai 6.920 data tweet. Masing-masing data diklasifikasikan dalam satu dari tiga kategori sentimen, yakni positif, negatif, dan netral. Setelah persiapan data, sebanyak 2.057 data digunakan untuk pembangunan model. Model yang diuji dalam penelitian ini terdiri dari algoritma Support Vector Machine (SVM), Multinomial Naïve Bayes, Gaussian Naïve Bayes, Long Short-Term Memory (LSTM), dan Bidirectional Long Short-Term Memory (Bi-LSTM). Model yang menghasilkan nilai evaluasi terbaik dan terpilih dalam pembangunan prototipe adalah model SVM dengan nilai accuracy sebesar 83,74%, weighted precision sebesar 83,96%, weighted recall sebesar 83,74%, dan weighted F1-score sebesar 83,72%. Prototipe digunakan untuk ekstraksi dan prediksi sentimen set data baru untuk kemudian divisualisasikan dalam bentuk grafik dan wordcloud sesuai dengan kebutuhan pengguna